MAP-based estimation of the parameters of non-stationary Gaussian processes from noisy observations

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

Volumn , Issue , 2011, Pages 3596-3599

  Krueger, Alexander ^a   Haeb Umbach, Reinhold ^a  

^a UNIVERSITY OF PADERBORN   (Germany)

Author keywords

MAP parameter estimation; noisy observations

Indexed keywords

GAUSSIAN PROCESSES; GAUSSIANS; MAP APPROACH; MAXIMUM A POSTERIORI; NOISY OBSERVATIONS; NONSTATIONARY; OBSERVATION ERRORS; OBSERVATION NOISE;

ACOUSTIC NOISE; ESTIMATION; GAUSSIAN NOISE (ELECTRONIC); PARAMETER ESTIMATION; SIGNAL PROCESSING; SPEECH COMMUNICATION;

GAUSSIAN DISTRIBUTION;

EID: 80051604053     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2011.5946256     Document Type: Conference Paper

References (5)

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3. A. Krueger and R. Haeb-Umbach, "A model based approach to joint compensation of noise and reverberation for speech recognition," in Robust Speech Recognition of Uncertain or Missing Data, chapter 10. Springer, to be published in 2011.
4. L. Deng, J. Droppo, and A. Acero, "Recursive estimation of nonstationary noise using iterative stochastic approximation for robust speech recognition," Speech and Audio Processing, IEEE Transactions on, vol. 11, no. 6, pp. 568-580, nov. 2003.
5. R. Martin, "Noise power spectral density estimation based on optimal smoothing and minimum statistics," IEEE Trans. Speech Audio Process., vol. 9, no. 5, pp. 504-512, 2001.