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Sparse maximum a posteriori (map) adaption
US8972258B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8972258-B2 |
| Application number | US-201414284738-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 22, 2014 |
| Priority date | Oct 28, 2011 |
| Publication date | Mar 3, 2015 |
| Grant date | Mar 3, 2015 |
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Abstract
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Techniques disclosed herein include using a Maximum A Posteriori (MAP) adaptation process that imposes sparseness constraints to generate acoustic parameter adaptation data for specific users based on a relatively small set of training data. The resulting acoustic parameter adaptation data identifies changes for a relatively small fraction of acoustic parameters from a baseline acoustic speech model instead of changes to all acoustic parameters. This results in user-specific acoustic parameter adaptation data that is several orders of magnitude smaller than storage amounts otherwise required for a complete acoustic model. This provides customized acoustic speech models that increase recognition accuracy at a fraction of expected data storage requirements.
First claim
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The invention claimed is: 1. A computer-implemented method for speech recognition, the computer-implemented method comprising: accessing acoustic data of a first speaker, the acoustic data of the first speaker being a collection of recorded utterances spoken by the first speaker; accessing a baseline acoustic speech model of an automated speech recognition system, the baseline acoustic speech model having a plurality of acoustic parameters used in converting spoken words to text…
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- What does patent US8972258B2 cover?
- Techniques disclosed herein include using a Maximum A Posteriori (MAP) adaptation process that imposes sparseness constraints to generate acoustic parameter adaptation data for specific users based on a relatively small set of training data. The resulting acoustic parameter adaptation data identifies changes for a relatively small fraction of acoustic parameters from a baseline acoustic speech …
- Who is the assignee on this patent?
- Nuance Communications Inc
- What technology area does this patent fall under?
- Primary CPC classification G10L15/07. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Mar 03 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).