Robust estimation of HMM parameters using fuzzy vector quantization and Parzen's window

Pattern Recognition

Volumn 28, Issue 1, 1995, Pages 53-57

  Dai, Jianing ^a  

^a NANJING UNIVERSITY   (China)

Author keywords

Fuzzy sets; Hidden Markov models; Parameter estimation; Parzen window; Speech recognition

Indexed keywords

ANTI-ALIASING; CODES (SYMBOLS); FUZZY SETS; MARKOV PROCESSES; PARAMETER ESTIMATION; PROBABILITY; VECTOR QUANTIZATION;

FUZZY VECTOR QUANTIZATION; HIDDEN MARKOV MODEL; PARAMETER SMOOTHING TECHNIQUE; PARZEN WINDOW;

SPEECH RECOGNITION;

EID: 0029206954     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/0031-3203(94)00075-W     Document Type: Article

References (7)

1. An introduction to the application of the theory of probabilistic function of a Markov process to automatic speech recognition
2. Large-vocabulary speaker-independent continuous speech recognition: the SPHINX system
3. Robust smoothing methods for discrete hidden Markov models
4. Fuzzy smoothing of HMM parameters in speech recognition
5. On estimation of a probability density function
6. Maximum likelihood hidden Markov modeling using a dominant sequence of states
7. Numerical methods for fuzzy clustering