Single-channel speech separation and recognition using loopy belief propagation

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

Volumn , Issue , 2009, Pages 3845-3848

  Rennie, Steven J ^a   Hershey, John R ^a   Olsen, Peder A ^a  

^a IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

Algonquin; ASR; Factorial hidden Markov models; Iroquois; Loopy belief propagation; Max model; Speech separation

Indexed keywords

ALGONQUIN; ASR; FACTORIAL HIDDEN MARKOV MODELS; IROQUOIS; LOOPY BELIEF PROPAGATION; MAX MODEL; SPEECH SEPARATION;

ACOUSTICS; COMPUTATIONAL GRAMMARS; GRAPHIC METHODS; HIDDEN MARKOV MODELS; INFERENCE ENGINES; LINGUISTICS; MESSAGE PASSING; OBJECT RECOGNITION; REMELTING; SEPARATION; SIGNAL PROCESSING; SPEECH ANALYSIS; VITERBI ALGORITHM;

SPEECH RECOGNITION;

EID: 70349213440     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2009.4960466     Document Type: Conference Paper

References (10)

1. M. Cooke, J. Hershey, and S. Rennie, "The speech separation and recognition challenge," Computer Speech and Language (to appear), 2009.
2. J. Hershey, T. Kristjansson, S. Rennie, and P. Olsen, "Single channel speech separation using layered hidden Markov models," NIPS, pp. 593-600, 2006.
3. Y. Weiss, "Interpreting images by propagating bayesian beliefs," NIPS, pp. 908-915, 1997.
4. F. Kschischang, B. Frey, and H. Loeliger, "Factor graphs and the sum-product algorithm," IEEE Trans. on Info. Theory, vol. 47, no. 2, pp. 498-519, 2001.
5. M. Reyes-Gómez, N. Jojic, and D. Ellis, "Towards singlechannel unsupervised source separation of speech mixtures: The layered harmonics/formants separation/tracking model," in Workshop on Statistical and Perceptual Audio Processing, 2004.
6. B. Frey, T. Kristjansson, L. Deng, and A. Acero, "Algonquin - learning dynamic noise models from noisy speech for robust speech recognition," NIPS, pp. 1165-1171, 2001.
7. A. Nádas, D. Nahamoo, and M. Picheny, "Speech recognition using noise-adaptive prototypes," IEEE Trans. Acoust., Speech, Signal Processing, vol. 37, pp. 1495-1503, 1989.
8. P. Varga and R.K. Moore, "Hidden Markov model decomposition of speech and noise," ICASSP, pp. 845-848, 1990.
9. M.H. Radfar, R.M. Dansereau, and A. Sayadiyan, "Nonlinear minimum mean square error estimator for mixturemaximisation approximation," Electronics Letters, vol. 42, no. 12, pp. 724-725, 2006.
10. Y. Weiss and W. Freeman, "On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs," IEEE Trans.on Info. Theory, vol. 47, no. 2, pp. 736-744, 2001.