Handling time-derivative features in a missing data framework for robust automatic speech recognition

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

Volumn 1, Issue , 2006, Pages

  Van Hamme, Hugo ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC NOISE; DATA REDUCTION; FEATURE EXTRACTION; ROBUSTNESS (CONTROL SYSTEMS); SPEECH INTELLIGIBILITY;

AUTOMATIC SPEECH RECOGNITION; MISSING DATA; NOISE ROBUSTNESS; RELIABILITY MASKS;

SPEECH RECOGNITION;

EID: 33947622695     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Cooke, M., Green, Ph., Josifovski, L., Vizinho, A. "Robust automatic speech recognition with missing and unreliable acoustic data". Speech Communication 34 (2001), pp. 267-285
2. Van hamme, H., "Robust Speech Recognition Using Missing Feature Theory in the Cepstral or LDA Domain," Proc. Eurospeech, Geneva, Sept. 2003, pp. 3089-3092.
3. Raj, B., Seltzer, M.L., Stern, R.M. "Reconstruction of missing features for robust speech recognition". Speech Communication 443 (2004), pp. 275-296.
4. Van hamme, H, "Robust speech Recognition using cepstral domain missing data techniques and noisy Masks," In Proc. ICASSP, pp. 213-216, Montreal, May 2004.
5. Josifovski, L. "Robust automatic speech recognition with missing and unreliable data", PhD thesis, University of Sheffield, 2002
6. Yamamoto, S, Valin, J.-M., Nakadai, K., Rouat, J., Michaud, F. Ogata, T., Okuno, H. "Enhanced robot speech recognition based on microphone array source separation and missing feature theory," In Proc. Interspeech, Lisbon, Portugal, September 2005
7. Van hamme, H, "PROSPECT Features and their Application to Missing Data Techniques for Robust Speech Recognition," In Proc. ICSLP, pp. 101-104, Jeju Island, Korea, October 2004.