Incremental bayes learning with prior evolution for tracking nonstationary noise statistics from noisy speech data

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

Volumn 1, Issue , 2003, Pages 672-675

  Deng, Li ^a   Droppo, Jasha ^a   Acero, Alex ^a  

^a MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

NONSTATIONARY NOISE;

ACOUSTIC NOISE; APPROXIMATION THEORY; ERROR CORRECTION; GAUSSIAN NOISE (ELECTRONIC); LEARNING SYSTEMS; RECURSIVE FUNCTIONS;

SPEECH RECOGNITION;

EID: 0141702302     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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3. L. Deng, J. Droppo, and A. Acero. "Log-domain speech feature enhancement using sequential MAP noise estimation and a phase-sensitive model of the acoustic environment," Proc. ICSLP, Denver CO, Sept. 2002, pp. 192-195.
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5. J. Droppo, A. Acero, and L. Deng. "A nonlinear observation model for removing noise from corrupted speech log Melspectral energies," Proc. ICSLP, 2002, pp. 182-185.
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8. J. Spragins. "A note on the iterative application of Bayes' rule," IEEE Trans. Inform. Theory, Vol.11, No. 4, pp. 544-549.