Presentation | 2001/12/14 Unsupervised Adaptation of an Acoustic Model Using Confidence Measures Based on Phoneme Posterior Probabilities Jun Ogata, Yasuo Ariki, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we study on an accurate unsupervised adaptation method for spontaneous speech recognition. In unsupervised adaptation framework, the effectiveness of adaptation process is greatly affected by the mis-recognized labels. Therefore, selection of the adaptation data guided by the confidence measures is effective in unsupervised adaptation. We propose an phoneme error minimization framework for accurate phoneme-labels and use of phoneme-level confidence measures for improved unsupervised adaptation. Experimental results showed that the proposed method could reduce the mis-recognized labels in the adaptation process. and consequently improved the adaptation accuracy. Furthermore the selection of the adaptation data using the phoneme confidence measures improved the adaptation accuracy. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | unsupervised adaptation / confidence measures / word error minimization / phoneme error minimization |
Paper # | NLC2001-70,SP2001-105 |
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Committee | SP |
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Conference Date | 2001/12/14(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Speech (SP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Unsupervised Adaptation of an Acoustic Model Using Confidence Measures Based on Phoneme Posterior Probabilities |
Sub Title (in English) | |
Keyword(1) | unsupervised adaptation |
Keyword(2) | confidence measures |
Keyword(3) | word error minimization |
Keyword(4) | phoneme error minimization |
1st Author's Name | Jun Ogata |
1st Author's Affiliation | Faculty of Science and Technology, Ryukoku University() |
2nd Author's Name | Yasuo Ariki |
2nd Author's Affiliation | Faculty of Science and Technology, Ryukoku University |
Date | 2001/12/14 |
Paper # | NLC2001-70,SP2001-105 |
Volume (vol) | vol.101 |
Number (no) | 523 |
Page | pp.pp.- |
#Pages | 6 |
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