Iterative speech enhancement using a non-linear dynamic state model of speech and its parameters

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

Volumn 1, Issue , 2006, Pages

  Windmann, Stefan ^a   Haeb Umbach, Reinhold ^a  

^a UNIVERSITY OF PADERBORN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC NOISE; ITERATIVE METHODS; KALMAN FILTERS; PARAMETER ESTIMATION; SPEECH CODING;

DYNAMIC STATE MODELS; LINE SPECTRAL PAIR (LSP);

SPEECH ENHANCEMENT;

EID: 33947699941     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. J. Benesty, S. Makino, and J. Chen (Eds.), Speech Enhancement, Springer, 2005.
2. K.K. Paliwal and A. Basu, "A speech enhancement method based on Kalman filtering", in Proc. ICASSP, Dallas, Texas, 1987.
3. S. Gannot, "Iterative and sequential Kalman filter-based speech enhancement algorithms", IEEE Trans. Speech and Audio Processing, vol. 6, no. 4, pp. 373-385, July 1998.
4. N. Ma, M. Bouchard, and R.A. Goubran, "Perceptual Kalman filtering for speech enhancement in colored noise", in Proc. ICASSP, Montreal, 2004.
5. M. Gabrea, "An adaptive Kalman filter for the enhancement of speech signals", in Proc. Int'l Conference on Spoken Language Proc., Jeju, Korea, 2004.
6. S. Gannot and M. Moonen, "On the application of the unscented Kalman filter to speech processing", in Proc. Int'l Workshop on Acoustic Echo and Noise Control, Kyoto, Japan, 2003.
7. J. Vermaak, C. Andrieu, A. Doucet, and S. Godsill, "Particle methods for bayesian modeling and enhancement of speech signals", IEEE Trans. Speech and Audio Processing, vol. 10, no. 3, pp. 173-185, March 2002.
8. W. Fong, S. Godsill, A. Doucet, and M. West, "Monte Carlo smooting with application to audio signal enhancement", IEEE Trans. Signal Processing, vol. 50, no. 2, pp. 438-449, Feb. 2002.
9. A. Doucet, J.F.G. de Freitas and N.J. Gordon (Eds), Sequential Monte Carlo Methods in Practice, Springer, 2001.
10. B. Ristic, S. Arulampalam, N. Gordon, Beyond the Kalman Filter: Particle Filters for Tracking Applications, Artech House Publishers, 2004.
11. B. Raj, R. Singh and R. Stern, "On tracking noise with linear dynamical system models", in Proc. ICASSP, Montreal, 2004.
12. R. Haeb-Umbach and J. Schmalenstroeer, "A comparision of particle filter variants for speech feature enhancement", in Proc. Interspeech, Lisboa, 2005.
13. K. Soong, B.H. Juang, "Line spectrum pair (LSP) and speech data compression", in Proc. ICASSP, San Diego, 1984.
14. J.R. Deller, J.H.L. Hansen, and J.G. Proakis Discrete-Time Processing of Speech Signals, IEEE Press, 2000.
15. S. Gannot, "Speech Enhancement: Application of the Kalman Filter in the Estimate-Maximize (EM) Framework", in Speech Enhancement, J. Benesty, S. Makino, J. Chen (Eds.), Springer, 2005.