Application of minimum statistics and minima controlled recursive averaging methods to estimate a cepstral noise model for robust ASR

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

Volumn 1, Issue , 2006, Pages

  Stouten, Veronique ^a,b   Van Hamme, Hugo ^a   Wambacq, Patrick ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b FUND FOR SCIENTIFIC RESEARCH   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN NOISE (ELECTRONIC); MATHEMATICAL MODELS; RECURSIVE FUNCTIONS; ROBUSTNESS (CONTROL SYSTEMS); SPECTRUM ANALYSIS; STATISTICS;

AURORA2; CEPSTRAL DOMAIN; RECURSIVE AVERAGING METHODS; SPECTRAL NOISE ESTIMATION;

SPEECH SYNTHESIS;

EID: 33947674784     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. L. Deng, J. Droppo, and A. Acero, "Recursive estimation of nonstationary noise using iterative stochastic approximation for robust speech recognition," IEEE Trans. on SAP, vol. 11, no. 6, pp. 568-580, 2003.
2. K. Yao and T.-W. Lee, "Time-varying noise estimation for speech enhancement and recognition using sequential monte carlo method," EURASIP JASP, vol. 15, pp. 2366-2384, 2004.
3. B. Raj, R. Singh, and R. Stern, "On tracking noise with linear dynamical system models," in Proc. ICASSP, Montreal, Canada, May 2004, vol. I, pp. 965-968.
4. R. Martin, "Noise power spectral density estimation based on optimal smoothing and minimum statistics," IEEE Trans. on SAP, vol. 9, no. 5, pp. 504-512, 2001.
5. I. Cohen, "Noise spectrum estimation in adverse environments: Improved minima controlled recursive averaging," IEEE Trans. on SAP, vol. 11, no. 5, pp. 466-475, 2003.
6. M.F.J. Gales, Model-Based Techniques for Noise Robust Speech Recognition, Ph.D. thesis, University of Cambridge, Sept. 1995.
7. V. Stouten, H. Van hamme, and P. Wambacq, "Model-based feature enhancement with uncertainty decoding for noise robust ASR," Speech Comm., 2006, (accepted for publication).