GB2588689B - Personalized models - Google Patents
Personalized models Download PDFInfo
- Publication number
- GB2588689B GB2588689B GB1916021.7A GB201916021A GB2588689B GB 2588689 B GB2588689 B GB 2588689B GB 201916021 A GB201916021 A GB 201916021A GB 2588689 B GB2588689 B GB 2588689B
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- personalized models
- personalized
- models
- 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.)
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
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- 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
- G10L15/00—Speech recognition
- G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
- G10L15/065—Adaptation
- G10L15/07—Adaptation to the speaker
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
- G06F18/2148—Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the process organisation or structure, e.g. boosting cascade
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/0499—Feedforward networks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/09—Supervised learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
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- 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
- G10L15/00—Speech recognition
- G10L15/08—Speech classification or search
- G10L15/16—Speech classification or search using artificial neural networks
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Software Systems (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Multimedia (AREA)
- Biophysics (AREA)
- Molecular Biology (AREA)
- Biomedical Technology (AREA)
- Mathematical Physics (AREA)
- Acoustics & Sound (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Human Computer Interaction (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Medical Informatics (AREA)
- Databases & Information Systems (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Telephonic Communication Services (AREA)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| GB1916021.7A GB2588689B (en) | 2019-11-04 | 2019-11-04 | Personalized models |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| GB1916021.7A GB2588689B (en) | 2019-11-04 | 2019-11-04 | Personalized models |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| GB201916021D0 GB201916021D0 (en) | 2019-12-18 |
| GB2588689A GB2588689A (en) | 2021-05-05 |
| GB2588689B true GB2588689B (en) | 2024-04-24 |
Family
ID=69059076
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| GB1916021.7A Active GB2588689B (en) | 2019-11-04 | 2019-11-04 | Personalized models |
Country Status (1)
| Country | Link |
|---|---|
| GB (1) | GB2588689B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US12488801B2 (en) | 2022-06-17 | 2025-12-02 | Samsung Electronics Co., Ltd. | Method and system for personalising machine learning models |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6073096A (en) * | 1998-02-04 | 2000-06-06 | International Business Machines Corporation | Speaker adaptation system and method based on class-specific pre-clustering training speakers |
| US20170194006A1 (en) * | 2015-07-22 | 2017-07-06 | Google Inc. | Individualized hotword detection models |
| US20170256254A1 (en) * | 2016-03-04 | 2017-09-07 | Microsoft Technology Licensing, Llc | Modular deep learning model |
-
2019
- 2019-11-04 GB GB1916021.7A patent/GB2588689B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6073096A (en) * | 1998-02-04 | 2000-06-06 | International Business Machines Corporation | Speaker adaptation system and method based on class-specific pre-clustering training speakers |
| US20170194006A1 (en) * | 2015-07-22 | 2017-07-06 | Google Inc. | Individualized hotword detection models |
| US20170256254A1 (en) * | 2016-03-04 | 2017-09-07 | Microsoft Technology Licensing, Llc | Modular deep learning model |
Non-Patent Citations (2)
| Title |
|---|
| M Padmanabhan et al., "Speaker clustering and transformation for speaker adaptation in speech recognition systems", IEEE Transactions on Speech and Audio Processing, vol. 6, no. 1, pp. 71-77, 1998, available from: https://api.semanticscholar.org/CorpusID:16318740, [accessed 24 April 2020] * |
| R Shokri at all, "Privacy-preserving deep learning." Proceedings of the 22nd ACM SIGSAC conference on computer and communications security (2015) * |
Also Published As
| Publication number | Publication date |
|---|---|
| GB201916021D0 (en) | 2019-12-18 |
| GB2588689A (en) | 2021-05-05 |
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