Presentation | 2000/12/14 State Selection using Context-Independent HMM for Fast Likelihood Calculation Akinobu Lee, Tatsuya Kawahara, Kiyohiro Shikano, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We address a method to efficiently select Gaussian mixtures for fast acoustic likelihood computation. It makes use of context-independent models for selection and back-off of corresponding triphone models. Specifically, for the k-best phone models by the preliminary evaluation, triphone models of higher resolution are applied, and others are assigned likelihoods with the monophone models. This selection scheme assigns more reliable back-off likelihoods to the un-selected states than the conventional Gaussian selection based on a VQ codebook, Experimental results show that this method can achieves a comparable performance, and works much better under the aggressive pruning condition. Together with the phonetic tied-mixture (PTM) modeling, acoustic matching cost is reduced to almost 14% with little loss of accuracy. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | LVCSR / Gaussian selection / state selection / PTM |
Paper # | NLC2000-43,SP2000-91 |
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Committee | NLC |
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Conference Date | 2000/12/14(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 | Natural Language Understanding and Models of Communication (NLC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | State Selection using Context-Independent HMM for Fast Likelihood Calculation |
Sub Title (in English) | |
Keyword(1) | LVCSR |
Keyword(2) | Gaussian selection |
Keyword(3) | state selection |
Keyword(4) | PTM |
1st Author's Name | Akinobu Lee |
1st Author's Affiliation | Nara Institute of Science and Technology() |
2nd Author's Name | Tatsuya Kawahara |
2nd Author's Affiliation | Kyoto University |
3rd Author's Name | Kiyohiro Shikano |
3rd Author's Affiliation | Nara Institute of Science and Technology |
Date | 2000/12/14 |
Paper # | NLC2000-43,SP2000-91 |
Volume (vol) | vol.100 |
Number (no) | 520 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |