Robust speech recognition by integrating speech separation and hypothesis testing

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

Volumn I, Issue , 2005, Pages

  Srinivasan, Soundararajan ^a   Wang, Deliang ^b  

^a OHIO STATE UNIVERSITY   (United States)

^b The Ohio State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC NOISE; DATA HANDLING; FREQUENCY DOMAIN ANALYSIS; RELIABILITY; SPEECH ANALYSIS; TIME DOMAIN ANALYSIS;

HYPOTHESIS TESTING; MISSING DATA METHODS; SPEECH SEPARATION; TIME-FREQUENCY DOMAIN;

SPEECH RECOGNITION;

EID: 33646811168     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2005.1415057     Document Type: Conference Paper

References (16)

1. Y. Gong, "Speech recognition in noisy environments: A survey," Speech Communication, vol. 16, pp. 261-291, 1995.
2. S. F. Boll, "Suppression of acoustic noise in speech using spectral subtraction," IEEE Trans. on Acoustics, Speech, and Signal Processing, vol. ASSP-27, no. 2, pp. 113-120, 1979.
3. M. J. F. Gales and S. J. Young, "Robust continuous speech recognition using parallel model combination," IEEE Trans. on Speech, and Audio Processing, vol. 4, pp. 352-359, 1996.
4. 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.
5. J. P. Barker, M. P. Cooke, and D. P. W. Ellis, "Decoding speech in the presence of other sources," Speech Communication, vol. 45, pp. 5-25, 2005.
6. A. Drygajlo and M. El-Maliki, "Speaker verification in noisy environment with combined spectral subtraction and missing data theory," in Proc. ICASSP '98, 1998, vol. 1, pp. 121-124.
7. M. L. Seltzer, B. Raj, and R. M. Stern, "Classifier-based mask estimation for missing feature methods of robust speech recognition," in Proc. ICSEP '00, 2000, pp. 538-541.
8. G. J. Brown, J. Barker, and D. L. Wang, "A neural oscillator sound separator for missing data speech recognition," in Proc. IJCNN '01, 2001, pp. 2907-2912.
9. H. Van Hamme, "Robust speech recognition using cepstral domain missing data techniques and noisy masks," in Proc. ICASSP '04, 2004, vol. 1, pp. 213-216.
10. A. S. Bregman, Auditory scene analysis, The MIT Press, Cambridge, MA, 1990.
11. P. Renevey and A. Drygajlo, "Detection of reliable features for speech recognition in noisy conditions using a statistical criterion," in Proc. Consistent & Reliable Acoustic Cues for Sound Analysis Workshop '01, 2001, pp. 71-74.
12. R. G. Leonard, "A database for speaker-independent digit recognition," in Proc. ICASSP '84, 1984, pp. 111-114.
13. S. Young, D. Kershaw, J. Odell, V. Valtchev, and P. Woodland, The HTK Book (for HTK Version 3.0), Microsoft Corporation, 2000.
14. A. P. Varga, H. J. M. Steeneken, M. Tomlinson, and D. Jones, "The NOISEX-92 study on the effect of additive noise on automatic speech recogonition," Technical Report, Speech Research Unit, Defense Research Agency, Malvern, UK, 1992.
15. G. Hu and D. L. Wang, "Monaural speech segregation based on pitch tracking and amplitude modulation," IEEE Trans. on Neural Networks, vol. 15, pp. 1135-1150, 2004.
16. P. Boersma and D. Weenink, "Praat: doing Phonetics by Computer, Version 4.0.26," http://www.fon.hum.uva.nl/praat, 2002.