ASR-driven top-down binary mask estimation using spectral priors

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

Volumn , Issue , 2012, Pages 4685-4688

  Hartmann, William ^a   Fosler Lussier, Eric ^a  

^a The Ohio State University   (United States)

Author keywords

ideal binary mask; mask estimation; robust automatic speech recognition

Indexed keywords

AUTOMATIC SPEECH RECOGNITION; BASELINE RECOGNITION SYSTEMS; BINARY MASKS; ESTIMATION ALGORITHM; IDEAL BINARY MASK; LINGUISTIC INFORMATION; LOW-LEVEL FEATURES; MODEL SELECTION; PILOT STUDIES; SNR IMPROVEMENT; TOP-DOWN APPROACH; TOPDOWN;

SIGNAL PROCESSING; SIGNAL TO NOISE RATIO; SPEECH ENHANCEMENT; SPEECH RECOGNITION;

ESTIMATION;

EID: 84867589172     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2012.6288964     Document Type: Conference Paper

References (13)

1. D. L.Wang, "On ideal binary mask as the computational goal of auditory scene analysis," in Speech separation by humans and machines, P. Divenyi, Ed., pp. 181-197. Kluwer Academic, Norwell MA, 2005.
2. M. Cooke, P. Green, L. Josifovski, and A. Vizinho, "Robust automatic speech recognition with missing and unreliable acoustic data," Speech Communication, vol. 34, pp. 267-285, 2001.
3. R. C. Hendriks, R. Heusdens, and J. Jensen, "Mmse based noise psd tracking with low complexity," in Proceedings of IEEE ICASSP, 2010, pp. 4266-4269.
4. W. Kim and J. H. L. Hansen, "A novel mask estimation method employing posterior-based representative mean estimate for missing-feature speech recognition," IEEE Transactions on Audio, Speech, and Language Processing, vol. 19, no. 5, pp. 1434-1443, July 2011.
5. J. Barker, M. Cooke, and D. P. W. Ellis, "Decoding speech in the presence of other sources," Speech Communication, vol. 45, pp. 5-25, 2005.
6. S. Srinivasan and D. L. Wang, "Robust speech recognition by integrating speech separation and hypothesis testing," Speech Communication, vol. 52, pp. 72-81, 2010.
7. D. L. Wang and G. Brown, Computational Auditory Scene Analysis: Principles, Algorithms, and Applications, Wiley-IEEE Press, 2006.
8. S. Young, G. Evermann, T. Hain, D. Kershaw, G. Moore, J. Odell, D. Ollason, D. Povey, V. Valtchev, and P. Woodland, The HTK Book, Cambridge University Publishing Department, 2002.
9. B. Raj, M. L. Seltzer, and R. M. Stern, "Reconstruction of missing features for robust speech recognition," Speech Communication, vol. 43, pp. 275-296, 2004.
10. W. Hartmann and E. Fosler-Lussier, "Investigations into the incorporation of the ideal binary mask in asr," in Proceedings of IEEE ICASSP, Prague, Czech Republic, May 2011.
11. N. Parihar and J. Picone, "Analysis of the aurora large vocabulary extensions," in Proceedings of Eurospeech, Geneva, Switzerland, September 2003, vol. 4, pp. 337-340.
12. S. F. Boll, "Suppression of acoustic noise in speech using spectral subtraction," IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 27, pp. 113- 120, 1979.
13. D. P. W. Ellis, "Using knowledge to organize sound: The prediction-driven approach to computational auditory scene analysis and its application to speech/nonspeech mixtures," Speech Communication, vol. 27, pp. 281-298, 1999.