Non-negative matrix factorization based compensation of music for automatic speech recognition

Proceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010

Volumn , Issue , 2010, Pages 717-720

  Raj, Bhiksha ^a,c   Virtanen, Tuomas ^b   Chaudhuri, Sourish ^c   Singh, Rita ^c  

^a DISNEY RESEARCH   (United States)

^b TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

^c CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Automatic speech recognition; Noise robustness; Non negative matrix factorization; Speech enhancement

Indexed keywords

FACTORIZATION; MATRIX ALGEBRA; SPEECH COMMUNICATION; SPEECH ENHANCEMENT; MUSIC; SPEECH RECOGNITION;

AUTOMATIC RECOGNITION; AUTOMATIC SPEECH RECOGNITION; NOISE ROBUSTNESS; NOISY SPEECH SIGNALS; NONNEGATIVE MATRIX FACTORIZATION; OVER-COMPLETE DICTIONARIES; WALL STREET JOURNAL; WEIGHTED LINEAR COMBINATIONS; BASIS VECTOR; MAGNITUDE SPECTRUM; NON NEGATIVES; TRAINING CORPUS;

SPEECH RECOGNITION; NON-NEGATIVE MATRIX FACTORIZATION;

EID: 79959818117     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. S. Boll, "Suppression of acoustic noise in speech using spectral subtraction," IEEE Trans. on ASSP, 1979.
2. Y. Ephraim and D. Malah, "Speech enhancement using a minimum mean square error log-spectral amplitude estimator," IEEE Trans. on ASSP, pp. 443-445, 1985.
3. P. J. Moreno, B. Raj, and R. M. Stern, "A Vector Taylor Series Approach for Environment-Independent Speech Recognition," Proc. ICASSP, 1996.
4. D. Yu, L. Deng, J. Droppo, J. Wu, Y. Gong, and A. Acero, "A Minimum-Mean-Square-Error Noise reduction Algorithm on Mel-Frequency Cepstra for Robust Speech Recognition," Proc. ICASSP, 2008.
5. J. Droppo and A. Acero, "Noise Robust Speech Recognition with a Switching Linear Dynamic Model," Proc. ICASSP, 2004.
6. B. Raj, R. Singh, and R. M. Stern, "On Tracking Noise with Linear Dynamical System Models," Proc. ICASSP, 2004.
7. A. P. Varga and R. K. Moore, "Hidden Markov Model decomposition of speech and noise," Proc. ICASSP, 1990.
8. J. R. Hershey, S. J. Rennie, O. P. A., and T. T. Kristjansson, "Super-human multi-talker speech recognition: A graphical modeling approach," Computer Speech and Language, 2010.
9. T. Virtanen, "Monaural Sound Source Separation by Non Negative Matrix Factorization with Temporal Continuity and Sparseness Criteria," IEEE Trans. on ASLP, vol. 15, 2007.
10. M. V. Shashanka, B. Raj, and P. Smaragdis, "Probabilistic Latent Variable Models as Non-Negative Factorizations," Computational Intelligence and Neuroscience, May 2008.
11. P. Smaragdis, R. Shashanka, and B. Raj, "A Sparse Non-Parameteric Approach for Single Channel Separation of Known Sounds," Proc. NIPS, 2009.
12. J. F. Gammecke and T. Virtanen, "Noise-robust exemplar-based connected digit recognition," Proc. ICASSP, 2010.
13. A. Cichocki, "Csiszar Divergences for Non-negative Matrix Factorization: Family of New Algorithms," ICA and BSS, vol. 3889/2006, pp. 32-39, 2006. (Pubitemid 43998396)
14. M. Goto, "Development of the RWC music database," in the 18th International Congress on Acoustics, 2004.