Local variability vector for text-independent speaker verification

Liping Chen, Kong Aik Lee, Bin Ma, Wu Guo, Haizhou Li, Li Rong Dai

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

6 Citations (Scopus)

Abstract

Total variability modeling has shown to be effective for text-independent speaker verification task. It provisions a tractable way to estimate the so-called i-vector, which describes the speaker and session variability rendered in an utterance. Due to the low dimensionality of the i-vector, channel compensation techniques such as linear discriminant analysis (LDA) and probabilistic LDA can be applied for the purpose of channel compensation. This paper proposes the local variability modeling technique, the central idea of which is to capture the local variability associated with individual dimension of the acoustic space. We analyze the latent structure associated with both the i-vector and local variability vector and show that the two representations complement each other based on the experiment conducted on NIST SRE'08 and SRE'10 datasets.

Original languageEnglish
Title of host publicationProceedings of the 9th International Symposium on Chinese Spoken Language Processing, ISCSLP 2014
EditorsMinghui Dong, Jianhua Tao, Haizhou Li, Thomas Fang Zheng, Yanfeng Lu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages54-58
Number of pages5
ISBN (Electronic)9781479942206
DOIs
Publication statusPublished - 24 Oct 2014
Externally publishedYes
Event9th International Symposium on Chinese Spoken Language Processing, ISCSLP 2014 - Singapore, Singapore
Duration: 12 Sept 201414 Sept 2014

Publication series

NameProceedings of the 9th International Symposium on Chinese Spoken Language Processing, ISCSLP 2014

Conference

Conference9th International Symposium on Chinese Spoken Language Processing, ISCSLP 2014
Country/TerritorySingapore
CitySingapore
Period12/09/1414/09/14

Keywords

  • factor analysis
  • session variability
  • speaker recognition

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Software

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