| Presentation | 2004/12/13 Aggregate a Posteriori Linear Regression Adaptation of Hidden Markov Models Jen-Tzung Chien, Chih-Hsien Huang, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We present a rapid and discriminative speaker adaptation algorithm for hidden Markov model (HMM) based speech recognition. The adaptation is based on the linear regression framework. Attractively, we estimate the regression matrices from speaker-specific adaptation data according to the aggregate a posteriori criterion, which is expressed in a form of classification error function. The aggregate a posteriori linear regression (AAPLR) is proposed to achieve discriminative adaptation so that the classification errors of adaptation data are minimized. The superiority of AAPLR to maximum a posteriori linear regression (MAPLR) is demonstrated. Different from minimum classification error linear regression (MCELR), AAPLR has closed-form solution to fulfill rapid adaptation. Experimental results reveal that AAPLR speaker adaptation does improve speech recognition performance with moderate computational cost compared to the maximum likelihood linear regression (MLLR), MAPLR and MCELR. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Hidden Markov model / MLLR / MAPLR / MCELR / Discriminative training / Aggregate a posteriori criterion / Speaker adaptation / Speech recognition |
| Paper # | NLC2004-53,SP2004-93 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 2004/12/13(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Natural Language Understanding and Models of Communication (NLC) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Aggregate a Posteriori Linear Regression Adaptation of Hidden Markov Models |
| Sub Title (in English) | |
| Keyword(1) | Hidden Markov model |
| Keyword(2) | MLLR |
| Keyword(3) | MAPLR |
| Keyword(4) | MCELR |
| Keyword(5) | Discriminative training |
| Keyword(6) | Aggregate a posteriori criterion |
| Keyword(7) | Speaker adaptation |
| Keyword(8) | Speech recognition |
| 1st Author's Name | Jen-Tzung Chien |
| 1st Author's Affiliation | Department of Computer Science and Information Engineering National Cheng Kung University() |
| 2nd Author's Name | Chih-Hsien Huang |
| 2nd Author's Affiliation | Department of Computer Science and Information Engineering National Cheng Kung University |
| Date | 2004/12/13 |
| Paper # | NLC2004-53,SP2004-93 |
| Volume (vol) | vol.104 |
| Number (no) | 538 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |