A fully automated derivation of state-based eigentriphones for triphone modeling with no tied states using regularization

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

Volumn , Issue , 2011, Pages 781-784

  Ko, Tom ^a   Mak, Brian ^a  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

Adaptation; Eigentriphone; Eigenvoice; Regularizatio

Indexed keywords

ACOUSTIC MODELING; ADAPTATION; ALTERNATIVE METHODS; EIGENTRIPHONE; EIGENVOICES; EXPERIMENTAL EVALUATION; REGULARIZATIO; TRAINING DATA; TRIPHONES;

COMPUTER APPLICATIONS; COMPUTER SIMULATION;

SPEECH RECOGNITION;

EID: 84865791249     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. K. F. Lee, "Context-dependent phonetic hidden Markov models for speaker-independent continuous speech recognition," IEEE Trans. on ASSP, vol. 38, no. 4, pp. 599-609, April 1990.
2. S. J. Young and P. C. Woodland, "The use of state tying in continuous speech recognition," in Proc. of Eurospeech, 1993, vol. 3, pp. 2203-2206.
3. Hung-An Chang and James R. Glass, "A back-off discriminative acoustic model for automatic speech recognizer," in Proc. of Interspeech, 2009, pp. 232-235.
4. R. Kuhn, J.-C. Junqua, P. Nguyen, and N. Niedzielski, "Rapid speaker adaptation in eigenvoice space," IEEE Trans. on SAP, vol. 8, no. 4, pp. 695-707, Nov 2000.
5. Tom Ko and B. Mak, "Eigentriphones: A basis for contextdependent acoustic modeling," in Proc. of ICASSP, 2011.