Markov chain Monte Carlo methods for speech enhancement

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

Volumn 2, Issue , 1998, Pages 1013-1016

  Vermaak, Jaco ^a   Niranjan, Mahesan ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADDITIVE WHITE GAUSSIAN NOISE; BAYESIAN APPROACHES; MARKOV CHAIN MONTE CARLO METHOD; MODEL PARAMETERS; PARAMETRIC MODELS; POSTERIOR DISTRIBUTIONS; SAMPLING SCHEMES; STATE-SPACE TECHNIQUE;

BAYESIAN NETWORKS; GAUSSIAN NOISE (ELECTRONIC); MONTE CARLO METHODS; SIGNAL PROCESSING; SPEECH ENHANCEMENT;

SPEECH;

EID: 0008755880     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.1998.675439     Document Type: Conference Paper

References (10)

1. BrianD.O. Anderson and John B. Moore. Optimal Filtering. Prentice-Hall, Englewood Cliffs, 1979.
2. George E. P. Box, Gwilym M. Jenkins, and Gregory C. Reinsel. Time Series Analysis, Forecasting and Control, Third Edition. Prentice-Hall, Englewood Cliffs, 1994.
3. C. K. Carter and R. Kohn. On gibbs sampling for state space models. Biometrika, 81(3):541-553,1994.
4. John R. Deller, John G. Proakis, and John H. L. Hansen. Discrete-Time Processing of Speech Signals. Macmillan Publishing Company, Englewood Cliffs, 1993.
5. Sylvia Fruhwirth-Schnatter. Data augmentation and dynamic linear models. Journal of Time Series Analysis, 15(2): 183-202,1994.
6. Alan E. Gelfand and Adrian F. M. Smith. Sampling-based approaches to calculating marginal densities. Journal of the American Statistical Association, 85(410):398-409,June 1990.
7. Stuart Geman and Donald Geman. Stochastic relaxation, gibbs distributions, and the bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-6(6):721-741, November 1984.
8. Jae S. Lim and Allan V. Oppenheim. All-pole modeling of degraded speech. IEEE Transactions on Acoustics, Speech, and Signal Processing, ASSP-26(3):197-210, June 1978.
9. Neil Shephard. Partial non-gaussian state space. Biometrika, 81(1):115-131,1994.
10. Luke Tierney. Markov chains for exploring posterior distributions (with discussion). The Annals of Statistics, 22(4): 1701-1762,1994.