ISCA Archive ICSLP 2000
ISCA Archive ICSLP 2000

Fuzzy entropy hidden Markov models for speech recognition

Dat Tran, Michael Wagner

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

@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}
}