Recursive estimation of time-varying environments for robust speech recognition

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 1, Issue , 2001, Pages 225-228

  Zhao, Yunxin ^a   Wang, Shaojun ^b   Yen, Kuan Chieh ^c  

^a UNIVERSITY OF MISSOURI   (United States)

^b Carnegie Mellon University   (United States)

^c MediaTek Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADDITIVE NOISE; RECURSIVE ESTIMATION;

ALGORITHMS; ESTIMATION; REGRESSION ANALYSIS; TIME VARYING SYSTEMS;

SPEECH RECOGNITION;

EID: 0034843164     PISSN: 15206149     EISSN: None     Source Type: Journal    
DOI: 10.1109/ICASSP.2001.940808     Document Type: Article

References (9)

1. Hidden Markov model decomposition of speech and noise
2. Speech recognition for a distant moving speaker based on HMM composition and separation
3. Integrated models of signal and background with application to speaker identification in noise
4. IMM-based estimation for slowly evolving environment
5. Residue noise compensation for robust speech recognition in nonstationary noise
6. Application of sequential estimation to time-varying environment compensation
7. On-line Bayesian speaker adaptation using tree-structured transformation and robust priors
8. Frequency-domain maximum likelihood estimation for automatic speech recognition in additive and convolutive noises
9. A speaker-independent continuous speech recognition system using continuous mixture Gaussian density HMM of phoneme-sized units