Presentation | 1997/3/17 A Neural-Networks-Aided Speaker Recognition System Using Bispectrum Hideki MAWATARI, Keisuke KAMEYAMA, Yukio KOSUGI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose a speaker recognition system using bispectral analysis. The correlation between the harmonic components of the speech signal are evaluated using the bispectrum. The recognition experiments on 6 speakers with their continuous vowels show this system is applicable. The performance of conventional techniques based on the second-order statistics dramatically decreases in a noisy environment. But, in the proposed system the recognition rate doesn't decrease when Gaussian noise is added to the signal, and it also shows high performance even when other speaker's voice is superimposed. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | bispectrum / speaker recognition / neural networks / Gaussian noise |
Paper # | NC96-146 |
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Committee | NC |
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Conference Date | 1997/3/17(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Neural-Networks-Aided Speaker Recognition System Using Bispectrum |
Sub Title (in English) | |
Keyword(1) | bispectrum |
Keyword(2) | speaker recognition |
Keyword(3) | neural networks |
Keyword(4) | Gaussian noise |
1st Author's Name | Hideki MAWATARI |
1st Author's Affiliation | Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology() |
2nd Author's Name | Keisuke KAMEYAMA |
2nd Author's Affiliation | Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology |
3rd Author's Name | Yukio KOSUGI |
3rd Author's Affiliation | Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology |
Date | 1997/3/17 |
Paper # | NC96-146 |
Volume (vol) | vol.96 |
Number (no) | 583 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |