TY - GEN
T1 - Fuzzy entropy hidden Markov models for speech recognition
AU - Tran, Dat
AU - Wagner, Michael
PY - 2000
Y1 - 2000
N2 - A new fuzzy technique called fuzzy entropy (FE) clustering is proposed and applied to hidden Markov models (HMMs) for speech recognition. FE-HMMs, both discrete and continuous, are proposed in this paper. Experimental results in speech recognition show good results for FE models compared with fuzzy C-means and conventional models.
AB - A new fuzzy technique called fuzzy entropy (FE) clustering is proposed and applied to hidden Markov models (HMMs) for speech recognition. FE-HMMs, both discrete and continuous, are proposed in this paper. Experimental results in speech recognition show good results for FE models compared with fuzzy C-means and conventional models.
UR - http://www.scopus.com/inward/record.url?scp=85009065192&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85009065192
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 -