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