Abstract
In speaker verification, a claimed speaker’s score is computed to accept or reject the speaker claim. Most of the current normalisation methods compute the score as the ratio of the claimed speaker’s and the impostors’ likelihood functions. Based on analysing false acceptance error occured by the current methods, we propose a fuzzy c-means clusteringbased normalisation method to find a better score which can reduce that error. Experiments performed on the TI46 and the ANDOSL speech corpora show better results for the proposed method
Original language | English |
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Title of host publication | AFSS International Conference on Fuzzy Systems, AFSS 2002 |
Subtitle of host publication | Advances in Soft Computing |
Editors | N. R. Pal, M. Sugeno |
Place of Publication | Germany |
Publisher | Springer |
Pages | 318-324 |
Number of pages | 7 |
ISBN (Print) | 9783540431503 |
DOIs | |
Publication status | Published - 2002 |
Event | 2002 AFSS International Conference on Fuzzy Systems - Calcutta, India Duration: 3 Feb 2002 → 6 Feb 2002 |
Conference
Conference | 2002 AFSS International Conference on Fuzzy Systems |
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Country/Territory | India |
City | Calcutta |
Period | 3/02/02 → 6/02/02 |