Noise Clustering-Based Speaker Verification

Dat Tran, Max Wagner

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

3 Citations (Scopus)

Abstract

The normalisation method for speaker verification proposed in this paper is based on the idea of the noise clustering method in fuzzy clustering. The proposed method can reduce false acceptance errors and apply to all current normalisation scores. Experiments performed on the ANDOSL and YOHO speech corpora show better results for the proposed method
Original languageEnglish
Title of host publicationAFSS International Conference on Fuzzy Systems AFSS 2002
Subtitle of host publicationAdvances in Soft Computing — AFSS 2002
EditorsN. R. Pal, M. Sugeno
Place of PublicationGermany
PublisherSpringer
Pages325-331
Number of pages7
ISBN (Print)9783540431503
DOIs
Publication statusPublished - 2002
Event2002 AFSS International Conference on Fuzzy Systems - Calcutta, India
Duration: 3 Feb 20026 Feb 2002

Conference

Conference2002 AFSS International Conference on Fuzzy Systems
Country/TerritoryIndia
CityCalcutta
Period3/02/026/02/02

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