THE DEPENDENCE OF FEATURE VECTORS UNDER ADVERSE NOISE

6th European Conference on Speech Communication and Technology, EUROSPEECH 1999

Volumn , Issue , 1999, Pages 2395-2398

  Shieh, Woei Chyang ^a   Chang, Sen Chia ^a  

^a INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE   (Taiwan)

Author keywords

feature normalization; noise; robust speech recognition

Indexed keywords

SPEECH RECOGNITION; VECTORS;

AUTOMATIC SPEECH RECOGNITION SYSTEM; FEATURE NORMALIZATION; FEATURES VECTOR; NOISE; PERFORMANCE DEGRADATION; PRACTICAL USE; ROBUST SPEECH RECOGNITION; SPEECH RECOGNIZER; TESTING ENVIRONMENT; TRAINING AND TESTING;

SPEECH COMMUNICATION;

EID: 30344472042     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Haton J.-P., “Automatic Recognition of Noisy Speech”, in Ayuso A. J., Lopez Soler J. M. (ed.), Speech Recognition and Coding: New Advances and Trends, pp. 3-13, Springer-Verlag, Berlin, Germany, 1995.
2. Viikki O., Bye D., Laurila K., “A Recursive Feature Vector Normalization Approach for Robust Speech Recognition in Noise”, Proc. ICASSP-98, pp. 733-736, 1998.
3. Tibrewala S., Hermansky H., “Multi-Band and Adaptation Approaches to Robust Speech Recognition”, Proc. Eurospeech'97, Rhodes, Greece, pp. 2619-2622, 1997.
4. Shozakai M., Nakamura S., Shikano K., “Robust Speech Recognition in Car Environment”, Proc. ICASSP-98, pp. 269-272, 1998.
5. Furui S., “Cepstral Analysis Technique for Automatic Speaker Verification”, IEEE Trans. on Acoustics, Speech, Signal Processing, Vol. ASSP-29, No.2, pp. 254-272, April 1981.
6. Shozakai M., Nakamura S., Shikano K., “A Non-Iterative Model-Adaptive E-CMN/PMC Approach for Apeech Recognition in Car Environments”, Proc. Eurospeech'97, Rhodes, Greece, pp. 287-290, 1997.
7. Gupta S. K., Soong F., Haimi-Cohen R., “High-Accuracy Connected Digit Recognition for Mobil Application”, Proc. ICASSP-96, pp. 57-60, 1996.
8. Rosenberg A. E., Lee C.-H., Soong F. K., “Cepstral Channel Normalization Techniques for HMM-Based Speaker Verification”, Proc. ICSLP-94, pp. 1835-1838, Yokohama, Japan, 1994.
9. Moreno P. J., Raj B., Gouvea E., Stern R. M., “Multivariate-Gaussian-Based Cepstral Normalization for Robust Speech Recognition”, Proc. ICASSP-95, pp. 137-140, 1995.
10. Junqua J.C., Anglade Y.,”Acoustic and Perceptual Studies of Lombard Speech: Application to Isolated Word Automatic Speech Recognition”, Proc. ICASSP-90, pp.841-844, 1990.
11. Wang H.-C., “MAT - A Project of Collect Mandarin Speech Data Through Networks in Taiwan”, Computational Linguistics and Chinese Language Processing, Vol. 2, No.1, pp. 73-89, Feb. 1997.