Longitudinal study of ASR performance on ageing voices

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Volumn , Issue , 2008, Pages 2550-2553

  Vipperla, Ravichander ^a   Renals, Steve ^a   Frankel, Joe ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

Ageing voices; Longitudinal study; MLLR; SCOTUS corpus

Indexed keywords

AGEING VOICES; AUTOMATIC SPEECH RECOGNITION; LONGITUDINAL STUDY; MAXIMUM LIKELIHOOD LINEAR REGRESSION; MLLR; OLD AGE; SCOTUS CORPUS; SPEAKER ADAPTATION; SUPREME COURT; WORD ERROR RATE;

MAXIMUM LIKELIHOOD; SPEECH COMMUNICATION;

SPEECH RECOGNITION;

EID: 77951447385     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Linville, S. E., "Vocal aging", Singular Thomson Learning, 2001
2. Xue, S, A., and Hao G. J., "Changes in human vocal tract due to aging and the acoustic correlates of speech production: a pilot study", Journal of Speech, Language and Hearing Research, 46(3):689-701, 2003
3. Wilpon, J. G., and Nacobsen, C. N., "A study of speech recognition for children and the elderly", in Proceedings of the International Conference on Acoustics, Speech and Signal Processing, IEEE Press: 349-352, 1996.
4. Baba, A., Yoshizawa, S., Yamada, M., Lee, A., and Shikano, K., "Acoustic Models of the Elderly for Large-Vocabulary Continuous Speech recognition", Electronics and Communications in Japan, Part 2, 87(7): 49-57, 2004
5. Anderson, S., Liberman, N., Bernstein, E., Foster, S., Cate, E., and Levin, B., "Recognition of elderly speech and voice driven document retrieval", Proc IEEE International Conference on Acoustics Speech and Signal Processing, 1:145-148, 1999
6. Gales, M. J. F., and Woodland, P. C., "Mean and Variance Adaptation Within the MLLR Framework", Computer Speech and Language, 10:249-264, 1996
7. Yuan, J., and Liberman, M.,"Speaker identification on the SCOTUS corpus", Accepted for proceedings of ASA 2008