Presentation 2007/12/13
Speaker verification using multi-stream HMMs with dimensionally weighted feature vectors
Shinya KOJIMA, Koji IWANO, Sadaoki FURUI,
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Abstract(in English) This paper describes a noise-robust speaker verification method using multi-stream HMMs. In this framework, each dimension of acoustic feature vectors is treated as an individual stream and then each stream is automatically weighted by a Linear Discriminant Analysis (LDA) based technique so as to emphasize noise-robust dimensions. This paper proposes two types of weight estimation using the LDA-based technique : unsupervised estimation and supervised noise-independent-weight estimation. In the latter estimation, the LDA is applied to development data contaminated with various noises different from the noise in testing data. Experiments were conducted using Japanese four-connected-digit utterances in various kinds of noise and SNR conditions. Two kinds of acoustic features, cepstrum domain features (MFCC) and spectrum domain features (SPEC),were used for the experiments. For both features, experimental results show that the unsupervised estimation reduces the equal error rates (EERs) in relatively high-SNR (15-20dB) conditions and the noise-independent-weight estimation improves the noise robustness in all noise conditions.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) speaker verification / noise robustness / multi-stream HMM / linear discriminant analysis (LDA) / spectral domain feature
Paper # NLC2007-40,SP2007-103
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Conference Information
Committee NLC
Conference Date 2007/12/13(1days)
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Paper Information
Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Speaker verification using multi-stream HMMs with dimensionally weighted feature vectors
Sub Title (in English)
Keyword(1) speaker verification
Keyword(2) noise robustness
Keyword(3) multi-stream HMM
Keyword(4) linear discriminant analysis (LDA)
Keyword(5) spectral domain feature
1st Author's Name Shinya KOJIMA
1st Author's Affiliation Department of Computer Science, Tokyo Institute of Technology()
2nd Author's Name Koji IWANO
2nd Author's Affiliation Department of Computer Science, Tokyo Institute of Technology
3rd Author's Name Sadaoki FURUI
3rd Author's Affiliation Department of Computer Science, Tokyo Institute of Technology
Date 2007/12/13
Paper # NLC2007-40,SP2007-103
Volume (vol) vol.107
Number (no) 405
Page pp.pp.-
#Pages 5
Date of Issue