TY - GEN
T1 - Fuzzy normalisation methods for speaker verification
AU - Tran, Dat
AU - Wagner, Michael
PY - 2000
Y1 - 2000
N2 - This paper proposes normalisation methods based on fuzzy set theory for speaker verification. A claimed speaker's score used to accept or reject this speaker is viewed as a fuzzy membership function. We propose two scores: the fuzzy entropy and fuzzy C-means membership functions. Moreover, a likelihood transformation is considered to obtain a general approach and, based on this, five more fuzzy scores are proposed. Finally, a noise clustering method is applied to the current and proposed methods, reducing the equal error rate in all cases. Experiments performed on the ANDOSL and YOHO speech corpora show better results for all proposed methods.
AB - This paper proposes normalisation methods based on fuzzy set theory for speaker verification. A claimed speaker's score used to accept or reject this speaker is viewed as a fuzzy membership function. We propose two scores: the fuzzy entropy and fuzzy C-means membership functions. Moreover, a likelihood transformation is considered to obtain a general approach and, based on this, five more fuzzy scores are proposed. Finally, a noise clustering method is applied to the current and proposed methods, reducing the equal error rate in all cases. Experiments performed on the ANDOSL and YOHO speech corpora show better results for all proposed methods.
UR - http://www.scopus.com/inward/record.url?scp=85009136741&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85009136741
T3 - 6th International Conference on Spoken Language Processing, ICSLP 2000
SP - 1
EP - 4
BT - 6th International Conference on Spoken Language Processing, ICSLP 2000
PB - International Speech Communication Association
CY - United States
T2 - 6th International Conference on Spoken Language Processing, ICSLP 2000
Y2 - 16 October 2000 through 20 October 2000
ER -