| Presentation | 2009-07-18 Speaking Style Classification of Spontaneous Speech Using Multiple-Regression HMM Takashi NOSE, Takeshi MATSUBARA, Yusuke IJIMA, Takao KOBAYASHI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper describes speaking style classification and speech recognition for spontaneous speech based on multiple-regression HMM (MRHMM). In MRHMM, the mean vector of each probability density function is given by multiple regression of a low-dimensional vector, called style vector. Each component of the style vector corresponds to the intensity of expressivity of speaking style variation, and the type of speaking style can be classified by estimating the style vector for input speech based on an ML criterion. Moreover, in spontaneous speech recognition, acoustic models are adapted on-line by updating model parameters using the estimated style vector for each input utterance. The performance evaluation using the Corpus of Spontaneous Japanese (CSJ) shows that a high classification rate is obtained even when the amount of available training data is very limited. The effectiveness of the proposed technique is also shown by a phoneme recognition experiment. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | spontaneous speech / speaking style classification / style estimation / model adaptation / multiple-regression HMM |
| Paper # | SP2009-46 |
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| Conference Information | |
| Committee | SP |
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| Conference Date | 2009/7/10(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| 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) | Speaking Style Classification of Spontaneous Speech Using Multiple-Regression HMM |
| Sub Title (in English) | |
| Keyword(1) | spontaneous speech |
| Keyword(2) | speaking style classification |
| Keyword(3) | style estimation |
| Keyword(4) | model adaptation |
| Keyword(5) | multiple-regression HMM |
| 1st Author's Name | Takashi NOSE |
| 1st Author's Affiliation | Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology() |
| 2nd Author's Name | Takeshi MATSUBARA |
| 2nd Author's Affiliation | Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology |
| 3rd Author's Name | Yusuke IJIMA |
| 3rd Author's Affiliation | Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology |
| 4th Author's Name | Takao KOBAYASHI |
| 4th Author's Affiliation | Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology |
| Date | 2009-07-18 |
| Paper # | SP2009-46 |
| Volume (vol) | vol.109 |
| Number (no) | 139 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |