A new state-dependent phonetic tied-mixture model with head-body-tail structured HMM for real-time continuous phoneme recognition system

INTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP

Volumn 4, Issue , 2006, Pages 1583-1586

  Park, Junho ^a   Ko, Hanseok ^a  

^a Korea University   (South Korea)

Author keywords

Acoustic modeling; State dependent PTM

Indexed keywords

ACOUSTIC MODEL; DESIRABLE FEATURES; EVALUATION RESULTS; GAUSSIAN MIXTURES; PERFORMANCE DEGRADATION; PHONEME RECOGNITION; RECOGNITION PROCESS; STATE-DEPENDENT;

LINGUISTICS;

EID: 44849099128     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. P. Clarkson and P. Moreno, "On the use of support vector machines for phonetic classification," ICASSP 1999, pp585-588.
2. H. Shimodaira, et al, "Support Vector Machine with Dynamic Time-Alignment Kernel for Speech Recognition" Eurospeech2001.
3. S. Golowich and D. Sun, "A Support Vector/Hiiden Markov Model Approach to Phoneme Recognition" ASA Proceedings of the Statistical Computing Section, 1998, pp.125-130.
4. M. Tamura, et al, "Visual speech synthesis based in parameter generation from HMM": Speech driven and text-and-speech driven approaches," Proc. AVSP 98, International Conference on Auditory-Visual Speech Processing.
5. E. Yamamoto, et al, "Lip movement synthesis from speech based on Hidden Markov Models" Speech Communication, Vol.26, 1998, pp.105-115.
6. S. Young, "The general use of tying in phoneme-based HMMspeech recognizers," ICASSP 1992, pp. 569-572.
7. A. Lee, et al, "A new phonetic tied-mixture model for efficient decoding," ICASSP2000, pp. 1269-1272.
8. E. Bocchieri and B. Mak, "Subspace distribution clustering hidden Markov model," IEEE Trans on speech and Audio Processing, vol. 9, March 2001, pp. 264-276.
9. W. Chou, B. Juang, C. Lee, "Minimum error rate training based on N-best string models" ICASSP1993, pp. 652-655.
10. L. Deng, et al, "High-performance robust speech recognition using stereo training data" ICASSP2001, pp.301-304.
11. J. Park and H. Ko, "Compact Acoustic Model for Embedded Implementation," ICSLP2004, pp693-696, 2004.