Sixth International Conference on Spoken Language Processing
October 16-20, 2000
Fuzzy Entropy Hidden Markov Models for Speech Recognition
Dat Tran, Michael Wagner
Human-Computer Communication Lab., School of Computing,
University of Canberra, Australia
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 con-
tinuous, are proposed in this paper. Experimental results
in speech recognition show good results for FE models com-
pared with fuzzy C-means and conventional models.
Tran, Dat / Wagner, Michael (2000):
"Fuzzy entropy hidden Markov models for speech recognition",
In ICSLP-2000, vol.1, 421-424.