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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.
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Authors and Affiliations
School of Computing, University of Canberra, 2601, ACT, Australia
Dat Tran & Michael Wagner
- Dat Tran
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- Michael Wagner
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Editors and Affiliations
Electronics and Communication Sciences Unit, Indian Statistical Institute, 203 B.T. Road, 700108, Calcutta, India
Nikhil R. Pal
Brain Science Institute, RIKEN, 2-1 Hirosawa, Wako, Japan
Michio Sugeno
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Tran, D., Wagner, M. (2002). Noise Clustering-Based Speaker Verification. In: Pal, N.R., Sugeno, M. (eds) Advances in Soft Computing — AFSS 2002. AFSS 2002. Lecture Notes in Computer Science(), vol 2275. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45631-7_43
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