JP2835013B2 - Sound quality adjustment device - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a sound quality adjusting device for adjusting the sound quality of a sound reproducing apparatus.

[0002]

2. Description of the Related Art Conventionally, tone control (bus / bus)
Sound reproduction equipment having a built-in sound quality control device called a graphic equalizer is used. Further, in recent years, an audio reproducing device having a built-in preset type equalizer suitable for a specific program source has been developed.

Here, a conventional sound quality adjusting device will be described with reference to the drawings. FIG. 11 is a block diagram showing a configuration example of a conventional sound quality adjustment device. This sound quality adjusting device includes an audio signal input means 71, a graphic equalizer 72, an amplifier 73, and a speaker 74.
The gain of each frequency band of the audio signal input by the audio signal input means 71 is adjusted by, for example, a 10-element graphic equalizer 72, and the sound is reproduced by the speaker 14 through the amplifier 73. In this case, the listener (viewer) manually adjusts the gain of each frequency band with the graphic equalizer 72 so that the reproduced sound has a desired sound quality. Graphic equalizer 7
2 is generally composed of an analog circuit, but there are also those using a digital circuit.
Similar characteristics can be realized with a type filter or an FIR type filter.

[0004] In this way, the listener can correct the gain of each frequency band using the graphic equalizer built in the sound reproducing device, and can adjust the sound quality to a desired sound quality. Also, the sound quality can be easily adjusted by using a sound quality adjusting device called a tone control instead of the graphic equalizer.

[0005]

However, in the above configuration, the sound quality of the reproduced sound can be changed using a graphic equalizer or tone control.
When trying to achieve the desired sound quality, it was often not clear how to adjust. For example, when it is desired to have a soft sound quality, it is not known which frequency band should be adjusted and how much gain should be adjusted, and a considerable amount of time has been spent on the adjustment. This is because the listener demands a psychological expression (for example, a soft sound, a powerful sound, a clear sound, etc.), while a conventional graphic equalizer or the like uses a physical expression (for example, , 500H
z was emphasized by 3 dB, and 4 kHz was attenuated by 4 dB).
This is because the correspondence between the two has not been clarified.

SUMMARY OF THE INVENTION The present invention has been made in view of the above-mentioned conventional problems, and enables a sound quality desired by a listener to be accurately set, and a sound quality to be easily adjusted by using a psychological quantity of the listener. It is an object of the present invention to realize a sound quality adjustment device that can perform the sound quality adjustment.

[0007]

Means for Solving the Problems The invention of claim 1 of the present application
Is the sense of the listener when listening to the sound of the sound reproduction device.
Psychological expression when expressing the sound quality
Positive expression and negative expression that is the opposite of positive expression
Rank between expression words on a multi-level scale and rank
Psychological characteristics of evaluation scales weighted by numerical values corresponding to the order
The amplitude frequency characteristics of the sound reproduction device are divided into multiple bands.
When dividing the amplitude level of each band into a physical characteristic,
Sound quality adjustment that adjusts the sound quality of sound reproduction equipment by psychological characteristics
Device, the sound reproduction equipment is
The correlation coefficient with the psychological characteristics felt when born is calculated.
And determine physical and psychological characteristics based on the calculation results.
Multiple regression equation with quantitative correspondence expressed in the form of a linear temporary combination
And the sound quality desired by the listener
Sound quality input means for inputting with psychological characteristics and sound quality input means
Input audio signal to provide enhanced sound quality
The physical characteristics for correcting the sound quality of the
Correction characteristic calculation means for calculating using the built-in multiple regression equation
And the input audio signal is extracted by the correction characteristic calculating means.
Signal processing means for performing correction processing based on the output physical characteristics.
It is characterized by having.

According to the invention of claim 2 of the present application, the correction characteristic
The calculating means calculates the physical characteristics in the multiple regression equation for each frequency band.
Characterized by changing at the same rate over
It is.

According to the third aspect of the present invention, the correction characteristic
The calculating means calculates the physical property in the multiple regression equation as a multiple regression coefficient.
It is characterized by being changed by weighting with a value.
You.

In the invention according to claim 4 of the present application, the correction characteristic
The calculating means converts each control amount in the physical characteristic into a psychological characteristic.
Weighted by the value of the correlation coefficient with the evaluation scale
It is characterized by that.

[0011] The invention according to claim 5 of the present application is directed to a sound reproducing apparatus.
When listening to the playback sound, the sound quality felt by the listener
When expressed in the current word, a positive table in the psychological expression
Between the current word and a negative expression that is the opposite of the positive expression
The ranks are ranked on a multi-step scale, and
The evaluation scale weighted by the corresponding numerical value is used as the psychological characteristic,
Dividing the amplitude frequency characteristics of the sound reproduction device into multiple bands
The physical level of the amplitude level of each band
Sound for adjusting the sound quality of the sound reproducing device according to the psychological characteristics
A quality control device, comprising:
Correlation coefficient with psychological characteristics felt when a raw device is reproduced
Is calculated, and the physical characteristics and the previous
Quantitative correspondence with psychological characteristics is displayed in the form of a linear temporary combination.
Model construction means for constructing the expressed multiple regression equation, and the listener
Sound quality input means for inputting desired sound quality based on the psychological characteristics
And constructing the model so as to have a plurality of sound quality and the sound quality.
Physical properties calculated based on the multiple regression equation of the means
The storage unit that has stored the data and a selection that selects one characteristic from the storage unit.
Selecting means, and input audio signal by the selecting means.
Signal processing means for performing correction processing with the selected physical characteristics.
It is characterized by having.

According to the invention of claim 6 of the present application, the storage unit
The physical characteristics to be stored are the physical characteristics in the multiple regression equation for each round.
It is characterized by changing at the same rate over the wavenumber band
Is what you do.

In the invention according to claim 7 of the present application, the storage unit
The physical properties to be stored are the multiple times of the physical properties in the multiple regression equation.
Characterized by weighted by the value of the regression coefficient
Things.

In the invention of claim 8 of the present application, the storage unit
The physical characteristics to be stored are based on the psychological
Weighted by the value of the correlation coefficient between the characteristic and the evaluation scale
It is characterized by having been changed .

According to a ninth aspect of the present invention, there is provided an audio reproducing apparatus.
When listening to the playback sound, the sound quality felt by the listener
When expressed in the current word, a positive table in the psychological expression
Between the current word and a negative expression that is the opposite of the positive expression
The ranks are ranked on a multi-step scale, and
The evaluation scale weighted by the corresponding numerical value is used as the psychological characteristic,
Dividing the amplitude frequency characteristics of the sound reproduction device into multiple bands
The physical level of the amplitude level of each band
Sound for adjusting the sound quality of the sound reproducing device according to the psychological characteristics
A quality control device, comprising:
Correlation coefficient with psychological characteristics felt when a raw device is reproduced
Is calculated, and the physical characteristics and the previous
Quantitative correspondence with psychological characteristics is displayed in the form of a linear temporary combination.
Model construction means for constructing the expressed multiple regression equation, and the listener
Sound quality input means for inputting desired sound quality based on the psychological characteristics
And constructing the model so as to have a plurality of sound qualities and the sound qualities.
Physical properties calculated based on the multiple regression equation of the means
A stored storage unit and at least two characteristics from the storage unit
Selecting means for selecting and a plurality of corrections selected by the selecting means
Interpolation using characteristics, set by the sound quality input means
Interpolation processing to calculate the correction characteristics to obtain the improved sound quality
And an input audio signal by the interpolation processing means.
Signal processing means for performing correction processing with the interpolated physical characteristics,
It is characterized by having.

In the invention according to claim 10 of the present application, the storage unit
The physical characteristics to be stored in are the physical characteristics in the multiple regression equation.
Characterized by changing at the same rate over the frequency band
It is assumed that.

In the eleventh aspect of the present invention, the storage unit
The physical characteristics that are stored in
It is characterized by being changed by weighting with the value of the regression coefficient.
Things.

In the twelfth aspect of the present invention, the storage unit
The physical characteristics to be stored by the
Weighted by the value of the correlation coefficient with the evaluation scale in the physical characteristics
It is characterized by having been changed .

[0019]

[0020]

[0021]

[0022]

According to the first to fourth aspects of the present invention having the above features, the sound pressure frequency characteristics, which are the physical characteristics of the sound reproducing device, and the psychological characteristics perceived by the listener corresponding thereto are quantitatively determined. By correcting the frequency characteristic by the signal processing means based on the corresponding model, the input audio signal is controlled to the sound quality desired by the listener.

According to claims 5 to 12 of the present invention,
Correction characteristics for realizing various sound qualities desired by the listener are recorded in the storage unit in advance. In this way, the sound quality desired by the listener can be immediately set from the selection means.

[0024]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS A sound quality adjusting device according to an embodiment of the present invention will be described with reference to the drawings. FIG. 1 is a block diagram showing a basic configuration of the sound quality adjusting device in the present embodiment. The sound quality adjustment device includes an audio signal input unit 1, a signal processing unit 2, an amplifier 3, a model construction unit 10, and a correction characteristic extraction unit 20. Model construction means 10
Is a means for constructing, as a quantitative correspondence model, a relationship between physical characteristics of the sound reproducing device and a plurality of psychological quantities (impressions) when the sound is received. This quantitative correspondence model expresses the relationship between a psychological quantity and a physical quantity by a mathematical formula, and is constructed for each psychological quantity. The correction characteristic extraction means 20 is a means for extracting a desired correction characteristic based on the quantitative correspondence model constructed by the model construction means in order to realize a sound quality desired by the listener.

When an audio signal is input to the signal processing means 2 through the audio signal input means 1, the signal is processed with the correction characteristics extracted by the correction characteristic extraction means 20, and the sound is reproduced from the speaker 4 through the amplifier 3. Is done.
The signal processing means 2 uses a graphic equalizer based on an analog circuit, but uses a IIR based digital circuit.
The sound quality can be adjusted in the same manner with a type filter and an FIR type filter. As described above, by adjusting the sound quality using the correction characteristics based on the quantitative and quantitative correspondence model between the physical quantity and the psychological quantity, the sound quality desired by the listener can be accurately reproduced.

Next, the model construction means 10 will be described in more detail. FIG. 2 is a block diagram showing the basic configuration of the model construction means 10, which comprises a physical quantity input means 11, a psychological quantity input means 12, a correlation coefficient calculation means 13, and a corresponding model calculation means 14. The physical quantity input unit 11 is a unit for inputting or setting the frequency characteristic of the sound pressure of the sound reproducing device. Here, the frequency band from 20 Hz to 20 KHz is divided into a plurality of bands, for example, 10 bands. Then, the average sound pressure level of the entire frequency band of the sound reproducing device including the speaker 4 is obtained. Next, a level difference for each band is set as a deviation level from the average sound pressure level, and an absolute value of the deviation level of the sound pressure for each band is also set and input. Specifically, the center frequency is 32 Hz, 64 Hz, 1
25Hz, 250Hz, 500Hz, 1KHz, 2KH
In each of ten frequency bands divided into a total of z, 4 KHz, 8 KHz, and 16 KHz, 20 kinds of physical quantities (physical characteristics) which are the sum of the above-described deviation level and absolute value are input.

On the other hand, the psychological quantity input means 12 evaluates the psychological quantity (psychological quantity) perceived by the listener when the audio signal having the physical characteristics input by the physical quantity input means 11 is evaluated for listening using a sound reproducing device to be adjusted. Means for inputting or setting characteristics. The psychological quantity in this case is the psychological quantity perceived by the listener when listening to a sound having a wide frequency band component such as an orchestra sound or an environmental sound as the evaluation audio signal. Specifically, data input is performed using at least one or more types of sound quality expression words.

FIG. 3 is an example of an evaluation sheet for setting a psychological quantity using a sound quality expression word, and shows input data for a pair comparison with respect to a reference characteristic. Here, 16 types of sound quality expression words are set. I have. For example, in the sound quality expression words shown in (3) of FIG. 3, the expression “rich” is set as a positive expression, and the expression “poor” is set as a negative expression. These contradictory expressions are referred to as sound quality expression word pairs, and a seven-stage SD (Sequence)
The sound quality is evaluated using the mantic differential method. For this purpose, scores of 1 to 7 are given to the evaluation results of the seven stages, and the scores are input to the psychological quantity input means 12. Also,
When there are a plurality of evaluators, it is common to enter the average value.

In this case, the psychological quantity to be input is 16 types, but for example, "low frequency is output" in FIG.
"Not out", "flimsy" in (14) of FIG. 3,
In the case of psychological quantities that have a common semantic content, such as "thick", factor analysis is performed on the results of evaluation with multiple types of sound quality expression words, and independent sound quality factors are extracted, and the sound quality factors are extracted. May be input to the psychological quantity input means 12. As described above, by using the sound quality factors obtained by the factor analysis, the entire space of the psychological quantity can be covered with a small number of sound quality expression words.

The correlation coefficient calculating means 13 shown in FIG. 2 is a means for calculating a correlation coefficient between a plurality of physical quantities and psychological quantities input by the physical quantity input means 11 and the psychological quantity input means 12. . Here, a correlation coefficient between each sound quality expression word pair and a physical quantity in each frequency band is calculated.
From this result, the frequency band affecting a certain sound quality expression word pair and its magnitude can be known, and a rough correspondence can be expressed by this correlation coefficient.

FIGS. 4 and 5 show data obtained by measuring the correlation coefficient in each sound quality expression word pair for each frequency band. Numbers 1 to 10 and 11 to 20 shown on the horizontal axis indicate frequency bands, and the values on the vertical axis in numbers 1, 2, 3, 4, 5, 6, 7, 8, 9, and 10 indicate the center frequency, respectively. 32Hz, 64H
z, 125Hz, 250Hz, 500Hz, 1KHz,
The correlation coefficients tested based on the deviation levels at 2 kHz, 4 kHz, 8 kHz, and 16 kHz are shown.
Here, the deviation level is a value obtained by subtracting the average level from the sound pressure to be set or adjusted. Similarly, numbers 11, 1
2, 13, 14, 15, 16, 17, 18, 19, 20
The values on the vertical axis in the table indicate that the center frequency is 32 Hz and 64, respectively.
Hz, 125Hz, 250Hz, 500Hz, 1KH
The correlation coefficient tested based on the absolute value of the deviation level at z, 2 KHz, 4 KHz, 8 KHz, and 16 KHz is shown.

The correspondence model calculation means 14 in FIG. 2 is a means for calculating a quantitative correspondence model between a physical quantity and a psychological quantity using such a correlation coefficient. This quantitative response model
Assuming that the psychological quantity is Z and the deviation level of each frequency band or its absolute value is the physical quantity X, the psychological quantity Z is a multiple regression equation expressed as a linear linear combination of the physical quantity X. The general equation of this multiple regression equation is expressed as the following equation (1).

(Equation 1)

The corresponding model calculation means 14 calculates a constant term a ₀ of the multiple regression in the equation (1) and a multiple regression coefficient a _i for the physical quantity of the band i. Here, i corresponds to the number of the frequency band. A quantitative correspondence model represented by the multiple regression equation (1) is constructed from the plurality of physical quantities and psychological quantities thus input.

FIG. 6 is a list of coefficients used in the multiple regression equation. In each row of the figure, a sound quality expression word pair is described, and in each row of each row, a constant term and a multiple regression coefficient in each frequency band are described. For example, when looking at the section of “(5)“ Low frequency is output—not output ”, it is found that the coefficient value in the 125 Hz band is negative and large, and each coefficient in the range of 63 Hz to 250 Hz is negative. This means that the component of 63 Hz to 250 Hz has a negative correlation in the psychological quantity “low frequency is not output”. Also, each coefficient of 1 KHz to 8 KHz is positive,
The fact that the value increases toward the high frequency means that the high frequency is too strong, which is the back of the psychological quantity that "the low frequency does not appear", and the correlation is positive.

As described above, since the sound pressure frequency characteristic which determines the sound quality most among the physical characteristics is used, a highly accurate quantitative correspondence model can be constructed. Further, in this embodiment, each frequency band is divided into 10 bands of 1 oct interval, but if the number of samples of the sound pressure frequency characteristic is large,
It is possible to make it as fine as 1/3 oct intervals. In this case, the accuracy of the quantitative correspondence model can be further improved. Also, a critical bandwidth close to the human auditory mechanism may be used.

Next, an embodiment in which the correction characteristic extracting means 20 is more concretely described. FIG. 7 is a block diagram showing a basic configuration of the first correction characteristic extracting means 20A. As shown in the figure, the correction characteristic extracting means 20A is composed of a correction characteristic calculating means 21 and a sound quality input means 22. The sound quality input means 22 is means for inputting desired sound quality using a psychological quantity. The correction characteristic calculation means 21 is a
This is a means for calculating a correction characteristic for realizing a desired sound quality by using a quantitative correspondence model constructed by 0.
The calculation method here is a method of changing the physical quantity used in the multiple regression equation at the same ratio, a method of changing the weight by the multiple regression coefficient of the multiple regression equation, or a method of weighting by the correlation coefficient between the physical quantity and the psychological quantity There is a way to change it.

For example, it is assumed that a multiple regression equation relating to “sense of power” is expressed by the following equation (2).

(Equation 2) First, consider the case where the physical quantity is changed at the same rate. In order to move the force Z in the positive direction by six, it is sufficient to raise the bands of 125 Hz and 250 Hz by 1 dB and attenuate the band of 4 KHz by 1 dB from the current characteristics. By controlling the three frequency bands at the same level (1 dB) in this manner, a sense of power of a target value is realized.

Next, let us consider a case where the weight is changed by the multiple regression coefficient. This is to control the frequency band in the order of magnitude that affects the sound quality to be adjusted. Here, as shown by equation (2), 125 Hz, 250 H
Since the ratio of the multiple regression coefficients applied to the frequency band of z and 4 kHz is 2: 1: 3, the physical quantity is also changed at that ratio. In order to move the feeling of force Z 2.8 in the positive direction,
From the current characteristics, the 125 Hz band is 0.4 dB, 250 dB.
Hz by 0.2dB each, 4kHz by 0.6dB
It may be attenuated.

Further, the case of weighting with a correlation coefficient can be realized by the same concept. For example, it is assumed that the multiple regression equation relating to the feeling of power is equation (2), and the correlation coefficient between each frequency band and the feeling of power is as follows. (-1 <correlation coefficient R <
1) Correlation coefficient for ₁₂₅ Hz R ₁₂₅ = 0.4 Correlation coefficient for 250 Hz R ₁₂₅ = 0.3 Correlation coefficient for 4 kHz R ₁₂₅ = −0.5 In this case, the correlation coefficient R for ₁₂₅ Hz, 250 Hz and 4 kHz Since the ratio is 0.4: 0.3: 0.5, the physical quantity is also changed at that ratio.

For example, in order to move the sense of force Z in the positive direction by 5.2, the current frequency characteristic is set to 0.8 at 125 Hz.
dB lift, 0.6dB lift at 250Hz, 4k
It may be attenuated by 1.0 dB at Hz. The calculation process is as follows. Z = 2.0 × 0.8 + 1.0 × 0.6−3.0 × (−1.0) = 5.2

As described above, since the correction characteristics are calculated based on the quantitative correspondence model between the physical quantity and the psychological quantity,
Correction characteristics for achieving desired sound quality can be set accurately.

Next, the second correction characteristic extracting means 20B will be described. FIG. 8 is a block diagram showing a basic configuration of the correction characteristic extracting means 20B. As shown in the figure, the correction characteristic extracting means 20B includes a correction characteristic calculating means 21, a sound quality input means 22, a correction characteristic setting means 25B having a storage unit 23 and a selecting means 24.

The correction characteristic calculating means 21 is a means for calculating correction characteristics for realizing various sound qualities, as in the case of FIG. The storage unit 23 is a memory that stores the correction characteristic of the calculation result of the correction characteristic calculation unit 21 and the sound quality as a pair. The method of calculating the correction characteristics is the same as the method described above.

When the desired sound quality is input from the sound quality input means 22, the selection means 24 is a means for selecting a correction characteristic for realizing the sound quality from the storage unit 23. Then, the signal processing means 2 of FIG. 1 adjusts the sound quality using the correction characteristics selected by the correction characteristic extraction means 20B.

As described above, since the correction characteristic calculated in advance based on the quantitative correspondence model between the physical quantity and the psychological quantity and the corresponding sound quality are stored in the storage unit 23 as a pair, the desired sound quality is stored. Can be accurately set in a short time.

Next, the third correction characteristic extracting means 20C will be described. FIG. 9 is a block diagram showing a basic configuration of the correction characteristic extracting means 20C. As shown in the figure, the correction characteristic extracting means 20C includes a correction characteristic calculating means 21, a sound quality input means 22, and a correction characteristic setting means 25C. The correction characteristic setting unit 25C has a storage unit 23, a selection unit 24, and an interpolation processing unit 26.

Similar to the second correction characteristic extracting means 20B, the third correction characteristic extracting means 20C calculates correction characteristics for realizing various sound qualities in advance by the correction characteristic calculating means 21. Are recorded in the storage unit 23 in pairs. For the method of calculating the correction characteristics here,
This is the same as the first correction characteristic extracting means 20A.

When the desired sound quality is inputted by the sound quality input means 22, a correction characteristic for realizing the sound quality is selected by the selecting means 24 and the storage unit 23. However, when the input sound quality is not registered in the storage unit 23, for example, two kinds of values, that is, the closest value from the value larger than the value of the sound quality and the closest value from the smaller value Selected by selection means 24. Then, the interpolation processing means 26 calculates a final correction characteristic by interpolation using these two types of correction characteristics. The interpolation calculation method is generally linear interpolation, but another interpolation calculation method may be used. Then, the signal processing means 2 adjusts the sound quality by using the final correction characteristics calculated by interpolation.

As described above, the correction characteristics previously calculated based on the quantitative correspondence model between the physical quantity and the psychological quantity,
The corresponding sound quality is stored as a pair, and the correction characteristic is calculated by a simple interpolation process, so that the correction characteristic for outputting the input sound quality can be more accurately and quickly. Can be set.

FIG. 10 shows a comparison between the sound quality prediction value calculated using the multiple regression equation constructed as described above and the result of the psychological evaluation test. FIG. 10A shows a correlation between an actually measured value obtained by a psychological evaluation experiment and a sound quality predicted value obtained by a multiple regression equation. FIG. 10B shows the ratio of the number of samples in which the predicted sound quality value falls within the 95% confidence interval of the actually measured value. The number of samples is 50. As a result, it can be said that the correlation coefficient is 0.6 or more for all sound quality expression words, and is significant at a risk rate of 1%. Further, as shown in FIG. 10B, the ratio falling within the 95% confidence interval was 70% in the item of “good / bad balance of f-characteristics” shown in FIG. With other sound quality expressions, high accuracy of 84% or more was obtained.

[0051]

As described above, according to the first to fourth aspects of the present invention, since the sound quality of the sound reproducing device is adjusted based on the quantitative and quantitative correspondence model between the physical characteristics and the psychological characteristics, The sound quality desired by the listener can be set accurately using psychological expressions. Further, since the physical characteristics used in the quantitative correspondence model are sound pressure frequency characteristics that most affect the sound quality, a highly accurate quantitative correspondence model can be constructed.

According to the invention of claims 5 to 8 of the present application, the correction characteristic based on the quantitative correspondence model and the psychological amount corresponding to the correction characteristic are recorded as a pair in the storage unit, so that the desired sound quality can be accurately determined. And in a short time.

According to the ninth to twelfth aspects of the present invention,
Correction characteristics based on quantitative correspondence models and corresponding
By recording the psychological quantity as a pair in the storage unit and performing interpolation processing using a plurality of correction characteristics, a desired sound quality can be realized more accurately.

[Brief description of the drawings]

FIG. 1 is a block diagram showing a basic configuration of a sound quality adjusting device according to an embodiment of the present invention.

FIG. 2 is a basic configuration diagram of model construction means provided in the sound quality adjustment device of the present embodiment.

FIG. 3 is an explanatory diagram of a sound quality evaluation sheet listing various sound quality expression words.

FIG. 4 is an explanatory diagram (part 1) illustrating a correlation between physical quantities for each sound quality expression word;

FIG. 5 is an explanatory diagram (part 2) illustrating a correlation between physical quantities for each sound quality expression word.

FIG. 6 is a diagram illustrating an example of a multiple regression coefficient indicating a relationship between physical quantities for each sound quality expression word.

FIG. 7 is a basic configuration diagram of first correction characteristic extracting means provided in the sound quality adjusting device of the present embodiment.

FIG. 8 is a basic configuration diagram of a second correction characteristic extracting unit provided in the sound quality adjustment device of the present embodiment.

FIG. 9 is a basic configuration diagram of a third correction characteristic extracting unit provided in the sound quality adjustment device of the present embodiment.

FIG. 10 is data showing an evaluation result of the correction characteristic extracting unit of the embodiment.

FIG. 11 is a block diagram illustrating a basic configuration example of a conventional sound quality adjustment device.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 Audio signal input means 2 Signal processing means 3 Amplifier 4 Speaker 10 Model construction means 11 Physical quantity input means 12 Psychological quantity input means 13 Correlation coefficient calculation means 14 Corresponding model calculation means 20, 20A, 20B, 20C Correction characteristic extraction means 21 Correction Characteristic calculation means 22 Sound quality input means 23 Storage unit 24 Selection means 25 Correction characteristic setting means 26 Interpolation processing means

Continuation of front page (56) References JP-A-4-20111 (JP, A) JP-A-3-19513 (JP, A) JP-A-2-303210 (JP, A) JP-A-1-319312 (JP) JP-A-61-140995 (JP, A) JP-A-63-111395 (JP, A) JP-A-61-140995 (JP, A) JP-A-3-282592 (JP, A) Seibundo Shinkosha Publishing, "All About Sound Quality for Audio and Music" Mamoru Kitikawa, Kenjiro Endo, and Norio Mogi, co-authored on July 14, 1981, newly refurbished (1-3-1: Composition and Analysis of Sound Quality, 1- 6: Expression terms of sound quality, 1-7: 7 attributes of sound quality and analysis method thereof) (58) Fields investigated (Int. Cl. ⁶ , DB name) H03G 5/02 H03G 5/16 G10H 1/00

Claims (12)

(57) [Claims] 1. When a playback sound of a sound playback device is received,
When expressing the sound quality felt by the listener with psychological expressions,
The positive expression in the psychological expression and the positive expression
Negative expression, which is the opposite content, is ordered on a multi-step scale.
Ranking and weighting with numerical values corresponding to the ranking order
The evaluated evaluation scale is used as a psychological characteristic, and the amplitude of the sound reproduction device is
Frequency characteristics are divided into multiple bands and the amplitude level of each band is
When the bell is a physical characteristic, the sound quality of the sound reproduction device is
A sound quality adjustment device that adjusts according to the psychological characteristics, wherein a sound reproducing device is reproduced with the physical characteristics and the physical characteristics.
The correlation coefficient with the psychological characteristics felt when
Determination of the physical characteristics and the psychological characteristics based on the calculation results
Multiple regression equation with quantitative correspondence expressed in the form of a linear temporary combination
Model construction means for constructing the sound quality, and sound quality input for inputting the sound quality desired by the listener with the psychological characteristics.
Force means, and input so that the sound quality is input by the sound quality input means.
Characteristics to correct the sound quality of the processed audio signal
Is performed using the multiple regression equation constructed by the model construction means.
And a correction characteristic calculating means for calculating the input audio signal.
Signal processing means for performing correction processing based on the output physical characteristics.
A sound quality adjustment device characterized by comprising: 2. The correction characteristic calculating means according to claim 1 , wherein said physical characteristic in said multiple regression equation is applied to each frequency band.
2. The method according to claim 1, wherein the ratio is changed at the same rate.
Sound quality adjustment device. 3. The correction characteristic calculating means weights the physical characteristic in the multiple regression equation with a value of a multiple regression coefficient.
2. The sound according to claim 1, wherein the sound is changed by attaching the sound.
Quality control device. 4. The correction characteristic calculation means according to claim 1, wherein each of the control amounts in the physical characteristic is evaluated by an evaluation scale in the psychological characteristic.
It is characterized by being weighted and changed by the value of the correlation coefficient with
The sound quality adjustment device according to claim 1. 5. When listening to a playback sound of an audio playback device,
When expressing the sound quality felt by the listener with psychological expressions,
Positive expression word and said positive expression word in the serial psychological expression word
Negative expression, which is the opposite content, is ordered on a multi-step scale.
Ranking and weighting with numerical values corresponding to the ranking order
The evaluated evaluation scale is used as a psychological characteristic, and the amplitude of the sound reproduction device is
Frequency characteristics are divided into multiple bands and the amplitude level of each band is
When the bell is a physical characteristic, the sound quality of the sound reproduction device is
A sound quality adjustment device that adjusts according to the psychological characteristics, wherein a sound reproducing device is reproduced with the physical characteristics and the physical characteristics.
The correlation coefficient with the psychological characteristics felt when
Determination of the physical characteristics and the psychological characteristics based on the calculation results
Multiple regression equation with quantitative correspondence expressed in the form of a linear temporary combination
Model construction means for constructing the sound quality, and sound quality input for inputting the sound quality desired by the listener with the psychological characteristics.
Force means, and a plurality of sound qualities and the model construction means so as to have the sound qualities.
Of physical properties calculated based on multiple regression equation
Storage unit, a selection unit for selecting one characteristic from the storage unit, and an input audio signal selected by the selection unit.
Signal processing means for performing correction processing based on physical characteristics.
And a sound quality adjustment device. 6. The physical characteristic stored in the storage unit is obtained by dividing the physical characteristic in the multiple regression equation into each frequency band.
6. The method according to claim 5, wherein the ratio is changed at the same rate.
Sound quality adjustment device. 7. The physical characteristic stored in the storage unit is obtained by weighting the physical characteristic in the multiple regression equation by a value of a multiple regression coefficient.
6. The sound according to claim 5, wherein the sound is changed.
Quality control device. 8. The physical characteristic stored in the storage unit is such that each control amount in the physical characteristic is an evaluation scale in the psychological characteristic.
Characterized by weighting with the value of the correlation coefficient with
The sound quality adjusting device according to claim 5, wherein 9. When a playback sound of a sound playback device is received,
When expressing the sound quality felt by the listener with psychological expressions,
The positive expression in the psychological expression and the positive expression
Negative expression, which is the opposite content, is ordered on a multi-step scale.
Ranking and weighting with numerical values corresponding to the ranking order
The evaluated evaluation scale is used as a psychological characteristic, and the amplitude of the sound reproduction device is
Frequency characteristics are divided into multiple bands and the amplitude level of each band is
When the bell is a physical characteristic, the sound quality of the sound reproduction device is
A sound quality adjustment device that adjusts according to the psychological characteristics, wherein a sound reproducing device is reproduced with the physical characteristics and the physical characteristics.
The correlation coefficient with the psychological characteristics felt when
Determination of the physical characteristics and the psychological characteristics based on the calculation results
Multiple regression equation with quantitative correspondence expressed in the form of a linear temporary combination
Model construction means for constructing the sound quality, and sound quality input for inputting the sound quality desired by the listener with the psychological characteristics.
Force means, and a plurality of sound qualities and the model construction means so as to have the sound qualities.
Of physical properties calculated based on multiple regression equation
And a selection means for selecting at least two characteristics from the storage unit
Interpolation using a stage, a plurality of correction characteristics selected by said selection means
Processing to obtain the sound quality set by the sound quality input means.
Interpolation processing means for calculating a correction characteristic for interpolating, and the input audio signal is interpolated by the interpolation processing means.
Signal processing means for performing correction processing with the adjusted physical characteristics.
A sound quality adjustment device characterized by the following. 10. The physical characteristic stored in the storage unit is obtained by dividing the physical characteristic in the multiple regression equation into each frequency band.
10. The method according to claim 9, wherein the ratio is changed at the same rate.
Sound quality adjustment device. 11. The physical characteristic stored in the storage unit is obtained by weighting the physical characteristic in the multiple regression equation by a value of a multiple regression coefficient.
10. The sound according to claim 9, wherein the sound is changed by adding the sound.
Quality control device. 12. The physical characteristic stored in the storage unit is such that each control amount in the physical characteristic is an evaluation scale in the psychological characteristic.
Characterized by weighting with the value of the correlation coefficient with
The sound quality adjusting device according to claim 9, wherein