Presentation | 2004/12/13 Speaker Recognition without Feature Extraction Process Tomoko MATSUI, Kunio TANABE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | By employing the dual Penalized Logistic Regression Machine (dPLRM), this paper explores a speaker identification method which does not require feature extraction process depending on a prior knowledge. The induction machine can discover implicitly speaker characteristics relevant to discrimination only from a set of training data by the mechanism of the kernel regression. Our text-independent speaker identification experiments with training data uttered by 1 0 male speakers in three different sessions show that the proposed method is competitive with the conventional Gaussian mixture model (GMM)-based method with 26-dimensional Mel-frequency cepstrum (MFCC) feature even though our method handle directly coarse data of 256-dimensional log-power spectrum. It is also shown that our method outperforms the GMM-based method especially as the amount of training data becomes smaller. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Speaker recognition / Speaker identification / Kernel regression / dual Penalized Logistic Regression Machine / implicit feature extraction |
Paper # | NLC2004-54,SP2004-94 |
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Conference Information | |
Committee | NLC |
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Conference Date | 2004/12/13(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 | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Speaker Recognition without Feature Extraction Process |
Sub Title (in English) | |
Keyword(1) | Speaker recognition |
Keyword(2) | Speaker identification |
Keyword(3) | Kernel regression |
Keyword(4) | dual Penalized Logistic Regression Machine |
Keyword(5) | implicit feature extraction |
1st Author's Name | Tomoko MATSUI |
1st Author's Affiliation | The Institute of Statistical Mathematics() |
2nd Author's Name | Kunio TANABE |
2nd Author's Affiliation | The Institute of Statistical Mathematics |
Date | 2004/12/13 |
Paper # | NLC2004-54,SP2004-94 |
Volume (vol) | vol.104 |
Number (no) | 538 |
Page | pp.pp.- |
#Pages | 6 |
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