標題: | Discriminative subspace modeling of SNR and duration variabilities for robust speaker verification |
作者: | Li, Na Mak, Man-Wai Lin, Wei-Wei Chien, Jen-Tzung 電機工程學系 Department of Electrical and Computer Engineering |
關鍵字: | Speaker verification;Duration variation;SNR mismatch;Variational Bayes;I-vector;PLDA |
公開日期: | 1-九月-2017 |
摘要: | Although i-vectors together with probabilistic LDA (PLDA) have achieved a great success in speaker verification, how to suppress the undesirable effects caused by the variability in utterance length and background noise level is still a challenge. This paper aims to improve the robustness of i-vector based speaker verification systems by compensating for the utterance-length variability and noise-level variability. Inspired by the recent findings that noise-level variability can be modeled by a signal-to-noise ratio (SNR) subspace and that duration variability can be modeled as additive noise in the i-vector space, we propose to add an SNR factor and a duration factor to the PLDA model. In this framework, we assume that i-vectors derived from utterances with comparable durations share similar duration-specific information and that i-vectors extracted from utterances within. a narrow SNR range have similar SNR-specific information. Based on these assumptions, an i-vector can be represented as a linear combination of four components: speaker, SNR, duration, and channel. A variational Bayes algorithm is developed to infer this latent variable model via a discriminative subspace training procedure. In the testing stage, different variabilities are compensated for when computing the likelihood ratio. Experiments on Common Conditions 1 and 4 in MST 2012 SRE show that the proposed model outperforms the conventional PLDA and SNR-invariant PLDA. Results also show that the proposed model performs better than the uncertainty-propagation PLDA (UP-PLDA) for long test utterances. (C) 2017 Elsevier Ltd. All rights reserved. |
URI: | http://dx.doi.org/10.1016/j.csl.2017.04.001 http://hdl.handle.net/11536/145646 |
ISSN: | 0885-2308 |
DOI: | 10.1016/j.csl.2017.04.001 |
期刊: | COMPUTER SPEECH AND LANGUAGE |
Volume: | 45 |
起始頁: | 83 |
結束頁: | 103 |
顯示於類別: | 期刊論文 |