CN113836508A - Method, device, storage medium and electronic device for determining boot mode - Google Patents
Method, device, storage medium and electronic device for determining boot mode Download PDFInfo
- Publication number
- CN113836508A CN113836508A CN202111007856.8A CN202111007856A CN113836508A CN 113836508 A CN113836508 A CN 113836508A CN 202111007856 A CN202111007856 A CN 202111007856A CN 113836508 A CN113836508 A CN 113836508A
- Authority
- CN
- China
- Prior art keywords
- target
- identity type
- determining
- identity
- voiceprint
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L17/00—Speaker identification or verification techniques
- G10L17/02—Preprocessing operations, e.g. segment selection; Pattern representation or modelling, e.g. based on linear discriminant analysis [LDA] or principal components; Feature selection or extraction
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L17/00—Speaker identification or verification techniques
- G10L17/22—Interactive procedures; Man-machine interfaces
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Multimedia (AREA)
- Human Computer Interaction (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Acoustics & Sound (AREA)
- Health & Medical Sciences (AREA)
- Computer Security & Cryptography (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- User Interface Of Digital Computer (AREA)
Abstract
The embodiment of the invention provides a method and a device for determining a starting mode, a storage medium and an electronic device, wherein the method comprises the following steps: receiving a request instruction for requesting to open a target device; acquiring first target voice information of a first target object contained in the request instruction, and identifying the target identity type of the first target object according to a first voiceprint feature of the first target voice information; and determining a target starting mode corresponding to the target identity type based on the corresponding relation between the pre-configured identity type and the starting mode. According to the invention, the problem that the personalized startup service cannot be provided for the user in the related technology is solved, and the effect of improving the user experience is further achieved.
Description
Technical Field
The embodiment of the invention relates to the field of artificial intelligence, in particular to a method and a device for determining a boot mode, a storage medium and an electronic device.
Background
Along with the wide application of artificial intelligence technology, intelligent equipment becomes a choice of a lot of people, people are more and more accustomed to issuing instructions through voice, the requirements of voice interaction and use scenes are continuously increased, consumers also put forward higher requirements on the starting service of the intelligent equipment, the following description is given by taking an intelligent air conditioner as an example, the intelligent air conditioner is more and more popular with users at present, the setting of a model, temperature and wind speed can be carried out based on the integral use habit of the air conditioner, and then the starting service is provided for the users, however, along with the increasing requirements of the users on the intelligent air conditioner, many users hope that the air conditioner starting service can be customized, the personalized intelligent starting service can be carried out based on the characteristics of the users, and the users hope that the users can enjoy the intelligent service which completely meets personal preference. At present, the problem of providing personalized boot service for users cannot be solved in the related art.
Aiming at the problem that the personalized startup service cannot be provided for the user in the prior art, an effective solution is not provided at present.
Disclosure of Invention
The embodiment of the invention provides a method and a device for determining a boot mode, a storage medium and an electronic device, which are used for at least solving the problem that personalized boot service cannot be provided for a user in the related art.
According to an embodiment of the present invention, a method for determining a boot mode is provided, including: receiving a request instruction for requesting to open a target device; acquiring first target voice information of a first target object contained in the request instruction, and identifying the target identity type of the first target object according to a first voiceprint feature of the first target voice information; and determining a target starting mode corresponding to the target identity type based on a corresponding relation between the pre-configured identity type and the starting mode.
In one exemplary embodiment, identifying the target identity type of the first target object based on the first voiceprint feature of the first target voice information comprises: comparing the first voiceprint features with each voiceprint feature pre-stored in a target voiceprint feature library to obtain a comparison result, wherein the comparison result is used for indicating whether the voiceprint features with the similarity of the first voiceprint features larger than or equal to a preset threshold exist in the target voiceprint feature library; based on the comparison result, the target identity type of the first target object is determined.
In an exemplary embodiment, determining the target identity type of the first target object based on the comparison result comprises: determining an identification result of the first target object based on the comparison result; determining that the target identity type is a registered identity type under the condition that the identity recognition result indicates that the specific identity of the first target object exists; determining a type of the target identity based on the first voiceprint feature if the identification result indicates that there is no specific identity of the first target object.
In an exemplary embodiment, determining the target identity type of the first target object based on the comparison result comprises: under the condition that the comparison result indicates that the similarity between the first voiceprint feature and a first target voiceprint feature included in the target voiceprint feature library is greater than or equal to the preset threshold value, determining that the identity recognition result is used for indicating that a specific identity of the first target object exists, and determining that the target identity type of the first target object is a first identity type corresponding to the first target voiceprint feature, wherein the registered identity type includes the first identity type; and under the condition that the comparison result indicates that the voiceprint features with the similarity greater than or equal to the preset threshold do not exist in the target voiceprint feature library, determining that the identity recognition result is used for indicating that the specific identity of the first target object does not exist, and determining that the target identity type of the first target object is a second identity type corresponding to the first voiceprint features.
In an exemplary embodiment, determining a target boot-up mode corresponding to the target identity type based on a preconfigured correspondence between identity types and boot-up modes comprises: under the condition that the target identity type is determined to be the first identity type, determining the target starting mode from a first preset corresponding relation, wherein the first corresponding relation is configured in the following way: calling target data of the first target object, wherein the target data is data obtained from a historical record of multiple parameter settings of the target device by the first target object in a first preset time period in the past; determining target parameters of the target device based on the target data; determining the target boot-up mode based on the target parameter; correspondingly storing a corresponding relation between the first identity type and the target starting mode, wherein the first corresponding relation comprises the corresponding relation between the first identity type and the target starting mode; under the condition that the target identity type is determined to be the second identity type, determining the target starting mode from a second pre-configured corresponding relationship, wherein the second corresponding relationship is configured in the following way: and configuring corresponding second identity types and corresponding boot modes for different voiceprint characteristics according to the age groups to which the voiceprint characteristics belong, and storing the second corresponding relation between the corresponding second identity types and the corresponding boot modes.
In one exemplary embodiment, after determining the target boot-mode corresponding to the target identity type, the method further comprises: controlling the target equipment to execute a starting-up operation according to the target starting-up mode; the target boot mode is used for instructing the target device to execute a boot operation according to the target parameter, and feeding back first voice information by using a first preset voiceprint, wherein the first voice information includes an identifier of the first target object and the target parameter, and a correspondence relationship among the identifier of the first target object, the first target voiceprint feature and the first preset voiceprint is stored in the target voiceprint feature library in advance.
In an exemplary embodiment, in a case that it is determined that the target identity type is the first identity type, determining a pre-acquired voiceprint of a specific object corresponding to the first identity type as the first predetermined voiceprint, and determining a pre-acquired identifier corresponding to the first identity type as the identifier of the first target object; determining the first predetermined voiceprint as a default voiceprint and determining an identity corresponding to an age group to which the first voiceprint feature belongs as an identity of the first target object if it is determined that the target identity type is the second identity type.
In one exemplary embodiment, before receiving a request instruction for requesting to open a target device, the method further includes: receiving a wake-up instruction for waking up the target device; identifying a third identity type of a second target object based on second target voice information of the second target object contained in the wake-up instruction; and controlling the target equipment to execute awakening operation and feeding back third voice information.
According to another embodiment of the present invention, there is also provided a device for determining a boot mode, including: the first receiving module is used for receiving a request instruction for requesting to open the target equipment; the first identification module is used for acquiring first target voice information of a first target object contained in the request instruction and identifying the target identity type of the first target object according to a first voiceprint feature of the first target voice information; the first determining module is used for determining a target starting mode corresponding to the target identity type based on a corresponding relation between the pre-configured identity type and the starting mode.
According to a further embodiment of the present invention, there is also provided a computer-readable storage medium having a computer program stored thereon, wherein the computer program is arranged to perform the steps of any of the above method embodiments when executed.
According to yet another embodiment of the present invention, there is also provided an electronic device, including a memory in which a computer program is stored and a processor configured to execute the computer program to perform the steps in any of the above method embodiments.
According to the method and the device, the first target voice information of the first target object is obtained, the target identity type of the first target object can be identified according to the first voiceprint feature of the first target voice information, and the target startup mode corresponding to the target identity type can be determined based on the preset corresponding relation between the identity type and the startup mode. The method and the device achieve the purpose of providing the corresponding target startup mode based on the target identity type of the first target object, solve the problem that personalized startup service cannot be provided for the user in the related technology, and further achieve the effect of improving user experience.
Drawings
Fig. 1 is a block diagram of a hardware configuration of a mobile terminal according to a method for determining a boot mode according to an embodiment of the present invention;
FIG. 2 is a flowchart of a method for determining boot mode according to an embodiment of the present invention;
FIG. 3 is a flowchart of a method for determining boot mode according to an embodiment of the present invention;
FIG. 4 is a flowchart of a device wake-up method according to an embodiment of the present invention;
fig. 5 is a block diagram of a device for determining a boot mode according to an embodiment of the present invention.
Detailed Description
Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings in conjunction with the embodiments.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
The method embodiments provided in the embodiments of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. Taking the operation on the mobile terminal as an example, fig. 1 is a hardware structure block diagram of the mobile terminal of the method for determining the boot mode according to the embodiment of the present invention. As shown in fig. 1, the mobile terminal may include one or more (only one shown in fig. 1) processors 102 (the processor 102 may include, but is not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA), and a memory 104 for storing data, wherein the mobile terminal may further include a transmission device 106 for communication functions and an input-output device 108. It will be understood by those skilled in the art that the structure shown in fig. 1 is only an illustration, and does not limit the structure of the mobile terminal. For example, the mobile terminal may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.
The memory 104 may be used to store computer programs, for example, software programs and modules of application software, such as computer programs corresponding to the method for determining the boot-up mode in the embodiment of the present invention, and the processor 102 executes various functional applications and data processing by running the computer programs stored in the memory 104, so as to implement the method described above. The memory 104 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory located remotely from the processor 102, which may be connected to the mobile terminal over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission device 106 is used for receiving or transmitting data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a Network adapter (NIC), which can be connected to other Network devices through a base station so as to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
Fig. 2 is a flowchart of a method for determining a boot mode according to an embodiment of the present invention, and as shown in fig. 2, the flowchart includes the following steps:
step S202, receiving a request instruction for requesting to open the target device;
step S204, acquiring first target voice information of a first target object contained in the request instruction, and identifying the target identity type of the first target object according to a first voiceprint feature of the first target voice information;
step S206, determining a target boot mode corresponding to the target identity type based on a pre-configured correspondence between the identity type and the boot mode.
Through the steps, a request instruction for requesting to open the target device is received, first target voice information of a first target object contained in the request instruction is obtained, the target identity type of the first target object is identified according to first voiceprint features of the first target voice information, and then a target starting mode corresponding to the target identity type is determined based on a preset corresponding relation between the identity type and the starting mode. The method and the device achieve the purpose of providing the corresponding target startup mode based on the target identity type of the first target object, solve the problem that personalized startup service cannot be provided for the user in the related technology, and further achieve the effect of improving user experience.
The execution subject of the above steps may be a cloud, a server, an intelligent device, a processor with human-computer interaction capability configured on a storage device, or a processing device or a processing unit with similar processing capability, but is not limited thereto. The following description takes the cloud end to perform the above operation as an example (which is only an exemplary description, and in actual operation, other devices or modules may also perform the above operation):
in the above embodiment, by receiving a request instruction for requesting to open the target device, for example, the smart device receives a request instruction for requesting to open the smart device from a user, or, in an actual application, after receiving the request instruction from the user, the smart device uploads the request instruction to the cloud, acquires first target voice information of a first target object included in the request instruction, and identifies a target identity type of the first target object according to a first voiceprint feature of the first target voice information, in an actual application, the first target voice information may be identified by using a voiceprint identification technology to identify the target identity type of the first target object, for example, in an actual application, the first target object may register a voiceprint in advance, upload the identity type of the first target object and the voiceprint information to the cloud for storage, and the identity type of the first target object may be identified by using the voiceprint identification technology, then, based on the corresponding relationship between the pre-configured identity type and the boot mode, determining a target boot mode corresponding to the target identity type, in practical application, the corresponding boot modes can be respectively configured for different identity types, for example, for a user with a first target object being a pre-registered voiceprint, a personalized boot service can be customized according to the user's own preference, for example, a voiceprint of a favorite star or cartoon character of the user is used for carrying out voice reply on the boot request of the user, optionally, in practical application, the use habit of the first target object on the intelligent equipment can be identified according to the user portrait data of the first target object, taking an air conditioner as an example, the habit of the first target object on the setting of the temperature, the wind speed, the mode and the like of the air conditioner can be identified by calling a big data terminal, when the first target object sends the boot request, providing a starting service set by habitual temperature, wind speed, mode and the like for the first target object; for unregistered voiceprint users, other corresponding boot services can be provided. Compared with the prior art that the starting service can be provided for the user only according to the overall habit of the equipment, the target starting mode can be provided based on the target identity type of the first target object through the embodiment, the problem that the personalized starting service cannot be provided for the user in the prior art is solved, and the effect of improving the user experience is achieved.
In an optional embodiment, identifying the target identity type of the first target object according to the first voiceprint feature of the first target voice information comprises: comparing the first voiceprint features with each voiceprint feature pre-stored in a target voiceprint feature library to obtain a comparison result, wherein the comparison result is used for indicating whether the voiceprint features with the similarity of the first voiceprint features larger than or equal to a preset threshold exist in the target voiceprint feature library; based on the comparison result, the target identity type of the first target object is determined. In practical application, the first voiceprint feature of the first target voice information can be identified through the voiceprint identification technology, then the first voiceprint feature is compared with each voiceprint feature which is stored in a target voiceprint feature library in advance, for example, the user (corresponding to the first target object) may register a voiceprint in advance, store the correspondence between the voiceprint and the identity type of the user in the cloud, in practical application, the voiceprint can be registered through the application program APP terminal, and the corresponding relation between the user identification (such as name, or nickname, or other identification) and the user voiceprint is uploaded to the cloud terminal and stored in the target voiceprint feature library, optionally, the same user may also register a plurality of voiceprints, or may also register a plurality of voiceprints of a plurality of different users in advance, and then, according to the comparison result, the target identity type of the first target object may be determined. Through the embodiment, the purpose of identifying the target identity type of the first target object is achieved.
In an optional embodiment, determining the target identity type of the first target object based on the comparison result comprises: determining an identification result of the first target object based on the comparison result; determining that the target identity type is a registered identity type under the condition that the identity recognition result indicates that the specific identity of the first target object exists; determining a type of the target identity based on the first voiceprint feature if the identification result indicates that there is no specific identity of the first target object. In practical application, based on the comparison result, an identity recognition result of the first target object is determined, for example, when a specific identity of the first target object exists in the target voiceprint feature library, the target identity type of the first target object can be determined to be a registered identity type; and under the condition that the identity recognition result indicates that the specific identity of the first target object does not exist in the target voiceprint feature library, determining the type of the target identity according to the first voiceprint feature of the first target object, for example, for a non-registered voiceprint user, determining the identity of a specific age group corresponding to the user according to the voiceprint feature of the user. Through the embodiment, the purpose of determining the identity type of the target object based on the voiceprint characteristics of the target object is achieved.
In an optional embodiment, determining the target identity type of the first target object based on the comparison result comprises: under the condition that the comparison result indicates that the similarity between the first voiceprint feature and a first target voiceprint feature included in the target voiceprint feature library is greater than or equal to the preset threshold value, determining that the identity recognition result is used for indicating that a specific identity of the first target object exists, and determining that the target identity type of the first target object is a first identity type corresponding to the first target voiceprint feature, wherein the registered identity type includes the first identity type; and under the condition that the comparison result indicates that the voiceprint features with the similarity greater than or equal to the preset threshold do not exist in the target voiceprint feature library, determining that the identity recognition result is used for indicating that the specific identity of the first target object does not exist, and determining that the target identity type of the first target object is a second identity type corresponding to the first voiceprint features. In this embodiment, when the comparison result indicates that the similarity between the first voiceprint feature and the first target voiceprint feature included in the target voiceprint feature library is greater than or equal to the predetermined threshold (e.g., 90% or 85% or another value), the identity recognition result is determined to indicate that a specific identity of the first target object exists, and the target identity type of the first target object is determined to be the first identity type corresponding to the first target voiceprint feature, that is, the first identity type is the registered identity type; when the comparison result indicates that there is no voiceprint feature in the target voiceprint feature library whose similarity to the first voiceprint feature is greater than or equal to the predetermined threshold (e.g., 90% or 85% or another value), the identity recognition result is determined to indicate that there is no specific identity of the first target object, and the target identity type of the first target object is determined to be a second identity type corresponding to the first voiceprint feature, for example, when the first target object is a non-registered voiceprint user, the target identity type of the first target object is the second identity type. By the embodiment, the first voiceprint feature of the first target object is compared with the voiceprint feature in the target voiceprint feature library, so that the purpose of determining the target identity type of the first target object to be the first identity type or the second identity type is achieved.
In an optional embodiment, determining, based on a pre-configured correspondence between an identity type and a boot mode, a target boot mode corresponding to the target identity type includes: under the condition that the target identity type is determined to be the first identity type, determining the target starting mode from a first preset corresponding relation, wherein the first corresponding relation is configured in the following way: calling target data of the first target object, wherein the target data is data obtained from a historical record of multiple parameter settings of the target device by the first target object in a first preset time period in the past; determining target parameters of the target device based on the target data; determining the target boot-up mode based on the target parameter; correspondingly storing a corresponding relation between the first identity type and the target starting mode, wherein the first corresponding relation comprises the corresponding relation between the first identity type and the target starting mode; under the condition that the target identity type is determined to be the second identity type, determining the target starting mode from a second pre-configured corresponding relationship, wherein the second corresponding relationship is configured in the following way: and configuring corresponding second identity types and corresponding boot modes for different voiceprint characteristics according to the age groups to which the voiceprint characteristics belong, and storing the second corresponding relation between the corresponding second identity types and the corresponding boot modes. In this embodiment, the corresponding relationship between the identity type and the boot mode may be preconfigured, for example, the first corresponding relationship may be configured as follows: calling target data of a first target object, wherein the target data is obtained from a history record of multiple parameter settings of a target device by the first target object in a first preset time period in the past, for example, if the first target object is a registered voiceprint user, calling user portrait data of a big data end to the user, identifying the use habit of an intelligent device (such as an air conditioner, a television or other devices) of the user, taking the air conditioner as an example to explain, such as the temperature, the wind speed and the mode of the air conditioner, and the like, namely, obtaining the setting data of the first target object used to the target device by calling the big data, determining the target parameters of the target device (such as the air conditioner) based on the target data, and then determining a target startup mode based on the target parameters; meanwhile, correspondingly storing the corresponding relation between the first identity type and the target starting mode; the second correspondence relationship may be configured as follows: for example, in practical applications, if the first target object is a non-registered voiceprint user, that is, the target identity type is the second identity type, the age group to which the voiceprint feature of the user belongs, for example, below 12 years old, or above 65 years old, or other age groups can be identified through a voiceprint identification technology, then the corresponding second identity type and the corresponding boot mode are respectively configured according to the different age groups to which the user belongs, and a second corresponding relationship between the corresponding second identity type and the corresponding boot mode is stored. By the embodiment, the purpose of configuring the corresponding relation between different identity types and different starting modes is achieved, and the purpose of determining the target starting mode corresponding to the target identity type according to the corresponding relation is achieved.
In an optional embodiment, after determining the target boot-up mode corresponding to the target identity type, the method further comprises: controlling the target equipment to execute a starting-up operation according to the target starting-up mode; the target boot mode is used for instructing the target device to execute a boot operation according to the target parameter, and feeding back first voice information by using a first preset voiceprint, wherein the first voice information includes an identifier of the first target object and the target parameter, and a correspondence relationship among the identifier of the first target object, the first target voiceprint feature and the first preset voiceprint is stored in the target voiceprint feature library in advance. In this embodiment, after determining the target boot mode corresponding to the target identity type, the target device may be controlled to perform the boot operation according to the target boot mode, for example, when the first target object is a registered voiceprint user, the target device (such as the air conditioner) may be controlled to perform the boot operation according to the setting data (corresponding to the target parameter) used by the first target object, and the first predetermined voiceprint is used to feed back the first voice information, for example, for the boot request of the first target object, the first voice information is fed back as: XX (e.g. user nickname) is hello, the air conditioner is turned on, and you do not turn on your favorite YY mode, currently X1 temperature and X2 wind speed, optionally, in practical applications, when the user registers the voiceprint, the voiceprint (corresponding to the first predetermined voiceprint, for example, typical voiceprint of a goat or a cookie or other characters) of his favorite star or cartoon character can be selected and registered together, and the correspondence between the user's identification, the first target voiceprint characteristic and the first predetermined voiceprint is stored in the target voiceprint characteristic library. Through the embodiment, the purpose of providing the customized starting service for the user is achieved, and the effect of improving the user experience is achieved.
In an optional embodiment, when it is determined that the target identity type is the first identity type, determining a pre-obtained voiceprint of a specific object corresponding to the first identity type as the first predetermined voiceprint, and determining a pre-obtained identifier corresponding to the first identity type as the identifier of the first target object; determining the first predetermined voiceprint as a default voiceprint and determining an identity corresponding to an age group to which the first voiceprint feature belongs as an identity of the first target object if it is determined that the target identity type is the second identity type. In this embodiment, the corresponding relationship among the identifier of the first target object, the first target voiceprint feature and the first predetermined voiceprint may be stored in the target voiceprint feature library in advance, in the case that the target identity type is determined to be the first identity type, the voiceprint of the specific object corresponding to the first identity type (for example, the typical voiceprint of the aforementioned sheep or pecky or other person) is determined to be the first predetermined voiceprint, and the identifier corresponding to the first identity type is determined to be the identifier of the first target object; in practical application, when the target identity type is determined to be the second identity type (such as the unregistered voiceprint user), the first predetermined voiceprint is determined to be the default voiceprint, for example, when the user of the second identity type is a child, a child mode instruction is issued to the air conditioner, and a user is replied to, "child is good, the air conditioner is started and a child mode is set for you", or, when the user of the second identity type is an old person, an old person mode instruction is issued to the air conditioner, and a user is replied to, "uncle/aunt is good, the air conditioner is started and a mode suitable for you is set for you", optionally, in practical application, suitable voice feedback can be set for different age groups in combination with market research conditions. Through the embodiment, the purpose of providing more personalized startup service for different users is achieved, and the effect of improving user experience is achieved.
In an optional embodiment, before receiving the request instruction for requesting to open the target device, the method further includes: receiving a wake-up instruction for waking up the target device; identifying a third identity type of a second target object based on second target voice information of the second target object contained in the wake-up instruction; and controlling the target equipment to execute awakening operation and feeding back third voice information. In this embodiment, the second target voice information is recognized through a voiceprint recognition technology to recognize a third identity type of the second target object, and similarly, a customized wake-up service may be provided for the second target object based on the third identity type, that is, the target device is controlled to perform a wake-up operation and the customized voiceprint is used to feed back the third voice information. Through the embodiment, the purpose of providing the customized wake-up service is achieved.
It is to be understood that the above-described embodiments are only a few, but not all, embodiments of the present invention.
The present invention will be described in detail with reference to the following examples:
fig. 3 is a flowchart of a method for determining a boot mode according to an embodiment of the present invention, as shown in fig. 3, the flowchart includes the following steps:
s302, receiving a starting instruction (corresponding to the request instruction) spoken by a user;
s304, identifying an instruction, wherein in practical application, a keyword in the instruction is identified by using a voice recognition technology, and a voiceprint feature (corresponding to the first voiceprint feature) of a user is identified by using a voiceprint recognition technology;
s306, determining whether the user is a registered voiceprint, and in this step, calling a registered voiceprint library (corresponding to the target voiceprint feature library) of the user center at the same time, it should be noted that, in practical applications, the registered voiceprint library may also be uploaded to the cloud in advance;
s308, under the condition that the voiceprint feature is judged to be the registered voiceprint feature, the big data end is called to draw image data (corresponding to the target data) of the user, and the air conditioner use habits of the user, such as temperature, wind speed, modes and the like, are identified;
s310, identifying user habits through the big data called in the step S308;
s312, the cloud issues an instruction to the air conditioner, and simultaneously feeds back voice information (corresponding to the aforementioned first voice information fed back by using the first predetermined voiceprint), for example, XX (user nickname) is hello, the air conditioner is turned on, and a favorite XX mode is started for you, where XX temperature and XX wind speed are currently;
s314, under the condition that the voiceprint features are judged to be the unregistered voiceprint features, judging whether the voiceprint features of the user belong to children voiceprints through a voiceprint recognition technology;
s316, under the condition that the voiceprint feature of the user is judged to be a child voiceprint, starting a child mode (corresponding to the target starting mode corresponding to the second identity type);
s318, the cloud sends an instruction to the air conditioner, and meanwhile, voice information is fed back, for example, when a child is good, the air conditioner is started, and a favorite XX mode is started for the child, wherein currently, XX temperature and XX wind speed are provided, and in practical application, voiceprints can be defaulted to feed back the voice information;
s320, further judging whether the voiceprint feature of the user belongs to the voiceprint of the old under the condition that the voiceprint feature of the user is judged not to be the voiceprint of the child;
s322, starting the old man mode (corresponding to the target starting mode corresponding to the second identity type) under the condition that the voiceprint feature of the user is judged to be the voiceprint of the old man;
s324, the cloud sends an instruction to the air conditioner, and meanwhile, voice information is fed back, for example, the air conditioner is started up when the air conditioner is good for the uncle/aunt, and a favorite XX mode is started for you, wherein the current XX temperature and XX wind speed are XX temperature and XX wind speed, and in practical application, the voice information can be fed back by default voiceprints;
s326, under the condition that the voiceprint feature of the user is judged not to be the voiceprint of the old, namely under the condition that the voiceprint of the user is not the voiceprint of the children or the voiceprint of the old, calling the learning result of the big data end on the whole use habit of the air conditioner, and identifying the use habit of the current air conditioner;
s328, after acquiring the overall usage habit of the air conditioner through the big data called in the step S326, starting a common mode corresponding to the mode of the user whose age group is adult;
s330, the cloud sends an instruction to the air conditioner, and meanwhile, voice information is fed back, for example, when a woman/a mr is good, the air conditioner is started, and a favorite XX mode of the woman is started, wherein the current XX temperature and XX wind speed are XX temperature and XX wind speed, and in practical application, voiceprints can be fed back by default.
It should be noted that, in practical applications, a non-registered voiceprint library may be pre-established, and the non-registered voiceprint library may include a voiceprint of a child, a voiceprint of a middle-aged male, a voiceprint of a middle-aged female, a voiceprint of an old male, a voiceprint of an old female, and the like, and also may establish more voiceprints according to different age groups, and of course, the non-registered voiceprint library may also be pre-uploaded to the cloud, and in combination with the non-registered voiceprint library, the user identity is identified in the above step S314, step S320, and step S328.
Through the embodiment, the user identity is identified based on the voiceprint technology, and the differentiated intelligent starting service is provided based on the use habits and identity characteristics of the user, so that the user experience is improved; meanwhile, based on the identified user identity, the voice of the favorite character set by the user is replied, and the personalized requirements of the user are met.
An embodiment of the present invention further provides a device wake-up method, fig. 4 is a flowchart of the device wake-up method according to the specific embodiment of the present invention, and as shown in fig. 4, the flowchart includes the following steps:
s402, receiving a wake-up word spoken by a user;
s404, identifying the voiceprint, and in practical application, identifying the voiceprint characteristics of the user by utilizing a voiceprint identification technology;
s406, determining whether the user is a registered voiceprint, and in this step, calling a registered voiceprint library (corresponding to the target voiceprint feature library) of the user center at the same time, it should be noted that, in practical applications, the registered voiceprint library may also be uploaded to the cloud in advance;
s408, under the condition that the voiceprint feature of the user is judged to be the registered voiceprint feature, identifying the identity of the user, such as identifying the nickname of the user or the identification of other users;
s410, the cloud sends an instruction to the air conditioner, and simultaneously feeds back voice information (corresponding to the third voice information) and feeds back the voice information by the voiceprint of the favorite person of the user, for example, XX (user nickname) is good and I is cheerful;
s412, in the case that the voiceprint feature is determined to be the unregistered voiceprint feature, the unregistered voiceprint library of the user center is called at the same time in the step, it should be noted that, in practical applications, the unregistered voiceprint library may also be uploaded to the cloud in advance, and then, the voiceprint of the user is identified to identify the age group corresponding to the user, that is, the user identity is identified based on the voiceprint, and the user identity is distinguished according to different age groups of children, adults, men and women, old men, and old women;
s414, the cloud sends an instruction to the air conditioner, and meanwhile, voice information is fed back through the standard voiceprint of the equipment, for example, you are good and I is cheerful for a child/woman/Mr/uncle/aunt (based on an identity recognition result).
In this embodiment, before performing the wake-up, a customized voiceprint set may be generated in advance, for example, a voiceprint is entered at the APP end, and the user may set a favorite nickname and may set a favorite character (a movie character, an animation character, or other nicknames for registered voiceprints).
It should be noted that, in practical applications, for the wake-up-free device, the smart booting service may be executed according to the aforementioned steps S302-S330, without executing the aforementioned steps S402-S414; for the device that needs to be woken up, the wake-up operation is performed according to the above steps S402-S414, and then the smart boot service is performed according to the above steps S302-S330.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
In this embodiment, a device for determining a boot mode is further provided, and fig. 5 is a block diagram of a device for determining a boot mode according to an embodiment of the present invention, as shown in fig. 5, the device includes:
a first receiving module 502, configured to receive a request instruction for requesting to open a target device;
a first identification module 504, configured to obtain first target voice information of a first target object included in the request instruction, and identify a target identity type of the first target object according to a first voiceprint feature of the first target voice information;
a first determining module 506, configured to determine, based on a pre-configured correspondence between an identity type and a boot mode, a target boot mode corresponding to the target identity type.
In an alternative embodiment, the first identification module 504 includes: the comparison unit is used for comparing the first voiceprint feature with each voiceprint feature pre-stored in a target voiceprint feature library to obtain a comparison result, wherein the comparison result is used for indicating whether the voiceprint feature with the similarity of the first voiceprint feature being greater than or equal to a preset threshold exists in the target voiceprint feature library; a first determining unit, configured to determine the target identity type of the first target object based on the comparison result.
In an optional embodiment, the first determining unit includes: the first determining subunit is used for determining an identity recognition result of the first target object based on the comparison result; a second determining subunit, configured to determine that the target identity type is a registered identity type when the identity recognition result indicates that a specific identity of the first target object exists; a third determining subunit, configured to determine, if the identity recognition result indicates that there is no specific identity of the first target object, a type of the target identity based on the first voiceprint feature.
In an optional embodiment, the first determining unit includes: a fourth determining subunit, configured to, in a case that the comparison result indicates that a similarity between the first voiceprint feature and a first target voiceprint feature included in the target voiceprint feature library is greater than or equal to the predetermined threshold, determine that the identity recognition result is used to indicate that a specific identity of the first target object exists, and determine that the target identity type of the first target object is a first identity type corresponding to the first target voiceprint feature, where the registered identity type includes the first identity type; a fifth determining subunit, configured to, when the comparison result indicates that there is no voiceprint feature in the target voiceprint feature library whose similarity to the first voiceprint feature is greater than or equal to the predetermined threshold, determine that the identity recognition result is used to indicate that there is no specific identity of the first target object, and determine that the target identity type of the first target object is a second identity type corresponding to the first voiceprint feature.
In an alternative embodiment, the first determining module 506 includes: a second determining unit, configured to determine the target boot-up mode from a first pre-configured correspondence relationship when the target identity type is determined to be the first identity type, where the first correspondence relationship is configured as follows: calling target data of the first target object, wherein the target data is data obtained from a historical record of multiple parameter settings of the target device by the first target object in a first preset time period in the past; determining target parameters of the target device based on the target data; determining the target boot-up mode based on the target parameter; correspondingly storing a corresponding relation between the first identity type and the target starting mode, wherein the first corresponding relation comprises the corresponding relation between the first identity type and the target starting mode; a third determining unit, configured to determine the target boot mode from a second pre-configured correspondence relationship when the target identity type is determined to be the second identity type, where the second correspondence relationship is configured in the following manner: and configuring corresponding second identity types and corresponding boot modes for different voiceprint characteristics according to the age groups to which the voiceprint characteristics belong, and storing the second corresponding relation between the corresponding second identity types and the corresponding boot modes.
In an optional embodiment, the apparatus further comprises: the first control module is used for controlling the target equipment to execute the starting-up operation according to the target starting-up mode after the target starting-up mode corresponding to the target identity type is determined; the target boot mode is used for instructing the target device to execute a boot operation according to the target parameter, and feeding back first voice information by using a first preset voiceprint, wherein the first voice information includes an identifier of the first target object and the target parameter, and a correspondence relationship among the identifier of the first target object, the first target voiceprint feature and the first preset voiceprint is stored in the target voiceprint feature library in advance.
In an optional embodiment, the apparatus further comprises: a second determining module, configured to determine, when it is determined that the target identity type is the first identity type, a pre-obtained voiceprint of a specific object corresponding to the first identity type as the first predetermined voiceprint, and determine a pre-obtained identifier corresponding to the first identity type as an identifier of the first target object; and a third determining module, configured to determine, when it is determined that the target identity type is the second identity type, the first predetermined voiceprint as a default voiceprint, and determine, as the identifier of the first target object, an identifier corresponding to an age group to which the first voiceprint feature belongs.
In an optional embodiment, the apparatus further comprises: a second receiving module, configured to receive a wake-up instruction for waking up a target device before receiving a request instruction for requesting to open the target device; the second identification module is used for identifying a third identity type of a second target object based on second target voice information of the second target object contained in the awakening instruction; and the second control module is used for controlling the target equipment to execute the awakening operation and feeding back third voice information.
It should be noted that, the above modules may be implemented by software or hardware, and for the latter, the following may be implemented, but not limited to: the modules are all positioned in the same processor; alternatively, the modules are respectively located in different processors in any combination.
Embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon, wherein the computer program is arranged to perform the steps of any of the above-mentioned method embodiments when executed.
In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to: various media capable of storing computer programs, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
Embodiments of the present invention also provide an electronic device comprising a memory having a computer program stored therein and a processor arranged to run the computer program to perform the steps of any of the above method embodiments.
In an exemplary embodiment, the electronic apparatus may further include a transmission device and an input/output device, wherein the transmission device is connected to the processor, and the input/output device is connected to the processor.
For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary embodiments, and details of this embodiment are not repeated herein.
It will be apparent to those skilled in the art that the various modules or steps of the invention described above may be implemented using a general purpose computing device, they may be centralized on a single computing device or distributed across a network of computing devices, and they may be implemented using program code executable by the computing devices, such that they may be stored in a memory device and executed by the computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into various integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for determining a boot mode, comprising:
receiving a request instruction for requesting to open a target device;
acquiring first target voice information of a first target object contained in the request instruction, and identifying the target identity type of the first target object according to a first voiceprint feature of the first target voice information;
and determining a target starting mode corresponding to the target identity type based on a corresponding relation between the pre-configured identity type and the starting mode.
2. The method of claim 1, wherein identifying the target identity type of the first target object based on the first voiceprint feature of the first target voice information comprises:
comparing the first voiceprint features with each voiceprint feature pre-stored in a target voiceprint feature library to obtain a comparison result, wherein the comparison result is used for indicating whether the voiceprint features with the similarity of the first voiceprint features larger than or equal to a preset threshold exist in the target voiceprint feature library;
based on the comparison result, the target identity type of the first target object is determined.
3. The method of claim 2, wherein determining the target identity type of the first target object based on the comparison comprises:
determining an identification result of the first target object based on the comparison result;
determining that the target identity type is a registered identity type under the condition that the identity recognition result indicates that the specific identity of the first target object exists;
determining a type of the target identity based on the first voiceprint feature if the identification result indicates that there is no specific identity of the first target object.
4. The method of claim 3, wherein determining the target identity type of the first target object based on the comparison comprises:
under the condition that the comparison result indicates that the similarity between the first voiceprint feature and a first target voiceprint feature included in the target voiceprint feature library is greater than or equal to the preset threshold value, determining that the identity recognition result is used for indicating that a specific identity of the first target object exists, and determining that the target identity type of the first target object is a first identity type corresponding to the first target voiceprint feature, wherein the registered identity type includes the first identity type;
and under the condition that the comparison result indicates that the voiceprint features with the similarity greater than or equal to the preset threshold do not exist in the target voiceprint feature library, determining that the identity recognition result is used for indicating that the specific identity of the first target object does not exist, and determining that the target identity type of the first target object is a second identity type corresponding to the first voiceprint features.
5. The method of claim 4, wherein determining a target boot-up mode corresponding to the target identity type based on a pre-configured correspondence between identity types and boot-up modes comprises:
under the condition that the target identity type is determined to be the first identity type, determining the target starting mode from a first preset corresponding relation, wherein the first corresponding relation is configured in the following way: calling target data of the first target object, wherein the target data is data obtained from a historical record of multiple parameter settings of the target device by the first target object in a first preset time period in the past; determining target parameters of the target device based on the target data; determining the target boot-up mode based on the target parameter; correspondingly storing a corresponding relation between the first identity type and the target starting mode, wherein the first corresponding relation comprises the corresponding relation between the first identity type and the target starting mode;
under the condition that the target identity type is determined to be the second identity type, determining the target starting mode from a second pre-configured corresponding relationship, wherein the second corresponding relationship is configured in the following way: and configuring corresponding second identity types and corresponding boot modes for different voiceprint characteristics according to the age groups to which the voiceprint characteristics belong, and storing the second corresponding relation between the corresponding second identity types and the corresponding boot modes.
6. The method of claim 5, wherein after determining the target boot-up mode corresponding to the target identity type, the method further comprises:
controlling the target equipment to execute a starting-up operation according to the target starting-up mode;
the target boot mode is used for instructing the target device to execute a boot operation according to the target parameter, and feeding back first voice information by using a first preset voiceprint, wherein the first voice information includes an identifier of the first target object and the target parameter, and a correspondence relationship among the identifier of the first target object, the first target voiceprint feature and the first preset voiceprint is stored in the target voiceprint feature library in advance.
7. The method of claim 1, wherein prior to receiving the request instruction for requesting opening of the target device, the method further comprises:
receiving a wake-up instruction for waking up the target device;
identifying a third identity type of a second target object based on second target voice information of the second target object contained in the wake-up instruction;
and controlling the target equipment to execute awakening operation and feeding back third voice information.
8. An apparatus for determining a boot mode, comprising:
the first receiving module is used for receiving a request instruction for requesting to open the target equipment;
the first identification module is used for acquiring first target voice information of a first target object contained in the request instruction and identifying the target identity type of the first target object according to a first voiceprint feature of the first target voice information;
the first determining module is used for determining a target starting mode corresponding to the target identity type based on a corresponding relation between the pre-configured identity type and the starting mode.
9. A computer-readable storage medium, in which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method as claimed in any of claims 1 to 7 are implemented when the computer program is executed by the processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111007856.8A CN113836508A (en) | 2021-08-30 | 2021-08-30 | Method, device, storage medium and electronic device for determining boot mode |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111007856.8A CN113836508A (en) | 2021-08-30 | 2021-08-30 | Method, device, storage medium and electronic device for determining boot mode |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113836508A true CN113836508A (en) | 2021-12-24 |
Family
ID=78961630
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111007856.8A Pending CN113836508A (en) | 2021-08-30 | 2021-08-30 | Method, device, storage medium and electronic device for determining boot mode |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113836508A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114842854A (en) * | 2022-03-29 | 2022-08-02 | 青岛海尔空调器有限总公司 | Audio resource playing method and device, electric appliance and air conditioner |
| CN114863932A (en) * | 2022-03-29 | 2022-08-05 | 青岛海尔空调器有限总公司 | Working mode setting method and device |
| CN114999472A (en) * | 2022-04-27 | 2022-09-02 | 青岛海尔空调器有限总公司 | Air conditioner control method and device and air conditioner |
| CN118588089A (en) * | 2024-08-05 | 2024-09-03 | 比亚迪股份有限公司 | Voiceprint result correction method, controller, vehicle and computer-readable storage medium |
| CN119808048A (en) * | 2024-11-19 | 2025-04-11 | 深圳市酷开网络科技股份有限公司 | A method, device, equipment and medium for starting a system mode based on identity |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109473108A (en) * | 2018-12-15 | 2019-03-15 | 深圳壹账通智能科技有限公司 | Auth method, device, equipment and storage medium based on Application on Voiceprint Recognition |
| CN112201233A (en) * | 2020-09-01 | 2021-01-08 | 沈澈 | Voice control method, system and device of intelligent household equipment and computer storage medium |
| US20210110832A1 (en) * | 2017-04-10 | 2021-04-15 | Beijing Orion Star Technology Co., Ltd. | Method and device for user registration, and electronic device |
-
2021
- 2021-08-30 CN CN202111007856.8A patent/CN113836508A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20210110832A1 (en) * | 2017-04-10 | 2021-04-15 | Beijing Orion Star Technology Co., Ltd. | Method and device for user registration, and electronic device |
| CN109473108A (en) * | 2018-12-15 | 2019-03-15 | 深圳壹账通智能科技有限公司 | Auth method, device, equipment and storage medium based on Application on Voiceprint Recognition |
| CN112201233A (en) * | 2020-09-01 | 2021-01-08 | 沈澈 | Voice control method, system and device of intelligent household equipment and computer storage medium |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114842854A (en) * | 2022-03-29 | 2022-08-02 | 青岛海尔空调器有限总公司 | Audio resource playing method and device, electric appliance and air conditioner |
| CN114863932A (en) * | 2022-03-29 | 2022-08-05 | 青岛海尔空调器有限总公司 | Working mode setting method and device |
| WO2023185006A1 (en) * | 2022-03-29 | 2023-10-05 | 青岛海尔空调器有限总公司 | Working mode setting method and apparatus |
| CN114999472A (en) * | 2022-04-27 | 2022-09-02 | 青岛海尔空调器有限总公司 | Air conditioner control method and device and air conditioner |
| CN114999472B (en) * | 2022-04-27 | 2024-12-24 | 青岛海尔空调器有限总公司 | Air conditioning control method, device and air conditioning |
| CN118588089A (en) * | 2024-08-05 | 2024-09-03 | 比亚迪股份有限公司 | Voiceprint result correction method, controller, vehicle and computer-readable storage medium |
| CN119808048A (en) * | 2024-11-19 | 2025-04-11 | 深圳市酷开网络科技股份有限公司 | A method, device, equipment and medium for starting a system mode based on identity |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113836508A (en) | Method, device, storage medium and electronic device for determining boot mode | |
| CN109360564B (en) | Method and device for selecting language identification mode and household appliance | |
| CN109951594A (en) | Intelligent screen brightness adjusting method and device, storage medium and mobile terminal | |
| CN109147802B (en) | Playing speed adjusting method and device | |
| CN109951596A (en) | Screen brightness adjusting method and device, storage medium and mobile terminal | |
| CN111638651A (en) | Intelligent household control panel, setting method thereof, server and storage medium | |
| CN107563569A (en) | Hotel reservation method, apparatus and its equipment based on more wheel interactive voices | |
| CN110308661B (en) | Intelligent device control method and device based on machine learning | |
| CN112837686A (en) | Method, device, storage medium and electronic device for executing wake-up response operation | |
| CN107544272A (en) | terminal control method, device and storage medium | |
| CN107545892B (en) | Equipment control method, device and system | |
| CN113836325A (en) | Multimedia content playback method and device, storage medium and electronic device | |
| WO2020228030A1 (en) | Device recommendation method and apparatus, electronic device, and storage medium | |
| CN111292734A (en) | Voice interaction method and device | |
| CN113487038A (en) | Scene determination method and device, storage medium and electronic device | |
| WO2023098002A1 (en) | Method, system and apparatus for controlling household appliance, and storage medium and electronic apparatus | |
| CN109672724B (en) | Information pushing method, device and equipment | |
| CN111650842A (en) | Household appliance control method and device | |
| CN108647096A (en) | Method of adjustment, device, storage medium and the mobile terminal of system resource configuration | |
| CN109725798B (en) | Intelligent role switching method and related device | |
| CN114391165A (en) | Voice information processing method, device, equipment and storage medium | |
| CN110275691A (en) | Automatic reply method, device, terminal and the storage medium that intelligent sound wakes up | |
| CN108932947B (en) | Voice control method and household appliance | |
| CN108628522A (en) | Automatic page turning method, apparatus, storage medium and terminal device | |
| CN111836339B (en) | Network equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |