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.
Cite as: Tran, D., Wagner, M. (2000) Fuzzy entropy hidden Markov models for speech recognition. Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000), vol. 1, 421-424, doi: 10.21437/ICSLP.2000-104
@inproceedings{tran00_icslp,
author={Dat Tran and Michael Wagner},
title={{Fuzzy entropy hidden Markov models for speech recognition}},
year=2000,
booktitle={Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000)},
pages={vol. 1, 421-424},
doi={10.21437/ICSLP.2000-104}
}