Subsyllable-based discriminative segmental Bayesian network for Mandarin speech keyword spotting

IEE Proceedings: Vision, Image and Signal Processing

Volumn 144, Issue 2, 1997, Pages 65-71

  Wu, C H ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

Context dependent subsyllable; Discriminative segmental bayesian network; Mandarin speech keyword spotting

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; SPEECH; SPEECH ANALYSIS; SPEECH PROCESSING;

BAYESIAN NETWORK; MANDARIN SPEECH KEYWORD SPOTTING;

SPEECH RECOGNITION;

EID: 0031124566     PISSN: 1350245X     EISSN: None     Source Type: Journal    
DOI: 10.1049/ip-vis:19971095     Document Type: Article

References (16)

1. WILPON, J.G. DEMARCO, D.M. and MIKKILINENI, R.P, 'Isolated word recognition over the DDD telephone network: results of two extensive field studies'. Proceedings of ICASSP88, 1988, pp. 55-5T
2. WILPON, J.G. RABINER, L.R. LEE, C-H. and GOLDMAN, E.R, 'Automatic recognition of keywords in unconstrained speech using hidden Markov models', IEEE Trans. Acoiisl. Speech Signal Process..1990, 38, (11), pp. 1870-1878
3. ROSE, R.C. JUANG, B.-H. and LEE, C.-H, 'A training procedure for verifying string hypotheses in continuous speech recognition'. Proceedings of ICASSP95, 1995, pp. 281-284
4. CHIGIER, B, 'Rejection and keyword spotting algorithms for a directory assistance city name recognition application'. Proceedings of ICASSP92, 1992, pp. 93-96
5. TSUBOI, H. and TAKEBAYASHI, Y, 'A real-time task-oriented speech understanding system using keyword spotting'. Proceedings of ICASSP92, 1992, pp. 197-200
6. RABINER, L.R. and LEVINSON, S.E, 'Isolated and connected word recognition: theory and selected applications', IEEE Trims..1981, C-29, (5), pp. 621-659
7. ROSE, R.C. and PAUL, D.B, 'A hidden Markov model based keyword recognition system'. Proceedings of ICASSP90, 1990, pp. 129-132
8. ROSE, R.C, 'Keyword detection in conversational speech utterances using hidden Markov model based continuous speech recognition', Computer Speech Lang..1995, 9, pp. 309-333
9. RABINER, L.R. \VILPON, J.G. and JUANG, B.-H, 'A segmentai K-means training procedure for connected word recognition', AT&T Tech. J..1986, 65, (3), pp. 21-31
10. CHANG, P.-C, and JUANG, B.-H, 'Discriminative training of dynamic programming based speech recognizers', IEEE Trans. Speech Audio Process..1993, 1, (2), pp. 135-143
11. CHANG, P.-C. CHEN, S.-H. and JUANG, B.-H, 'Discriminative analysis of distortion sequences in speech recognition', IEEE Trans. Speech Audio Process..1993, 1, (3) pp. 326-333
12. LEE, L.-S. TSENG, C.-Y. GU, H.-Y. LIU, F.-H. CHANG, C.-H. LIN, Y.-H. LEE, Y-M. TU, S.-L. HSIEH, S.-H. and CHEN, C.-H, 'Golden Mandarin, I, A real-time mandarin speech dictation machine for Chinese language with very large vocabulary', IEEE Trans. Speech Audio Process..1993, 1, (2), pp. 158-179
13. JUANG, B.-H. RABINER, L.R. and WILPON, J.G, 'On the use of bandpass liftering in speech recoanition';IEEE Trans..1987, ASSP-35, (7), pp. 947-953
14. RABINER, L.R. and JUANG, B.-H, 'Fundamentals of speech recognition' (Prentice-Hall, Enalewood Cliffs, New Jersey, USA, 1993), pp. 125-128
15. WU, C.-H. WANG, J.-F. HAUNG, C.-C. and LEE, J.-Y, 'Speaker independent recognition of isolated words using concatenated neural networks', /;;J. J. Pali. Recog. Artificial Intelligence, 1991,5, (5), pp. 693-714 . "
16. RABINER, L.R. WILPON, J.G. and SOONG, F.K, 'High performance connected digit recognition using hidden Markov models', IEEE Trans. Acoust. Speech Signal Process..1991, 37, (8), pp. 1214-1225