Gain-adapted hidden Markov models for recognition of clean and noisy speech
- 1 June 1992
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Signal Processing
- Vol. 40 (6) , 1303-1316
- https://doi.org/10.1109/78.139237
Abstract
No abstract availableKeywords
This publication has 26 references indexed in Scilit:
- Noise compensation algorithms for use with hidden Markov model based speech recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Hidden Markov model decomposition of speech and noisePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Maximum likelihood hidden Markov modeling using a dominant sequence of statesIEEE Transactions on Signal Processing, 1991
- Speech recognition using noise-adaptive prototypesIEEE Transactions on Acoustics, Speech, and Signal Processing, 1989
- Geometric source coding and vector quantizationIEEE Transactions on Information Theory, 1989
- Contour-gain vector quantizationIEEE Transactions on Acoustics, Speech, and Signal Processing, 1988
- Mixture autoregressive hidden Markov models for speech signalsIEEE Transactions on Acoustics, Speech, and Signal Processing, 1985
- Product code vector quantizers for waveform and voice codingIEEE Transactions on Acoustics, Speech, and Signal Processing, 1984
- Rate-distortion speech coding with a minimum discrimination information distortion measureIEEE Transactions on Information Theory, 1981
- Distortion measures for speech processingIEEE Transactions on Acoustics, Speech, and Signal Processing, 1980