Presentation | 2002/10/23 Word Recognition Using the HMM Composition Method Which Suits a Signal-to-Noise Ratio Automatically Kenji TAKADA, Jun TOYAMA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | HMM composition is known as one of the very effective technique for speech recognition under noisy environment. However, HMM composition cannot treat such a situation where Signal-to-Noise Ratio varies among frames. In this paper, we improve the original HMM composition technique so as to adapt such a variation. We do this by choosing appropriate values of the level adjustment coefficient on the basis of a maximum likelihood criterion applied to individual frames. Differences between the true values and the estimated values were measured and a word recognition experiment was conducted to demonstrate the effectivenss of this approach. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Word Recognition / Noisy Environment / HMM Composition / Level Adjustment Coefficient / Signal-to-Noise Ratio / Maximum Likelihood Procedure |
Paper # | WIT2002-37 |
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Committee | WIT |
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Conference Date | 2002/10/23(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Well-being Information Technology(WIT) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Word Recognition Using the HMM Composition Method Which Suits a Signal-to-Noise Ratio Automatically |
Sub Title (in English) | |
Keyword(1) | Word Recognition |
Keyword(2) | Noisy Environment |
Keyword(3) | HMM Composition |
Keyword(4) | Level Adjustment Coefficient |
Keyword(5) | Signal-to-Noise Ratio |
Keyword(6) | Maximum Likelihood Procedure |
1st Author's Name | Kenji TAKADA |
1st Author's Affiliation | Hokkaido University Graduate School of Engineering() |
2nd Author's Name | Jun TOYAMA |
2nd Author's Affiliation | Hokkaido University Graduate School of Engineering |
Date | 2002/10/23 |
Paper # | WIT2002-37 |
Volume (vol) | vol.102 |
Number (no) | 419 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |