Trajectory modeling based on HMMs with the explicit relationship between static and dynamic features

EUROSPEECH 2003 - 8th European Conference on Speech Communication and Technology

Volumn , Issue , 2003, Pages 865-868

  Tokuda, Keiichi ^a   Zen, Heiga ^a   Kitamura, Tadashi ^a  

^a NAGOYA INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

SPEECH COMMUNICATION; TRAJECTORIES; VITERBI ALGORITHM;

CONSTANT-STATISTICS; DYNAMIC FEATURES; INDEPENDENCE ASSUMPTION; OUTPUT VECTORS; TRAINING ALGORITHMS; TRAJECTORY MODELING; VITERBI;

SPEECH RECOGNITION;

EID: 85009231267     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. M. J. F. Gales and S. J. Young, "Segmental Hidden Markov Models," Proc. EUROSPEECH, pp.1579-1582, 1993.
2. H. Gish and K. Ng, "Parametric trajectory models for speech recognition," Proc. ICSLP, pp.I-466-I-469, 1996.
3. W. J. Holmes and M. J. Russell, "Speech recognition using a linear dynamic segmental HMM," Proc. ICASSP, pp.1611-1614, 1995.
4. M. Ostendorf, V. Digalakis, and O. A. Kimball, "From HMMs to segment models: a unified view of stochastic modeling for speech recognition," IEEE Trans. on Speech and Audio Processing, vol.4, no.5, pp.360-378, 1996.
5. L. Deng, M. Aksmanovic, X. Sun, J. Wu, "Speech recgnition using hiden Markov models with polynomial regression functions as nonstationary states," IEEE Trans. on Speech and Audio Processing, vol.2, no.4, pp.507-520, Oct. 1994.
6. Y. Gong and J. P. Haton, "Stochastic trajectory modeling for speech recognition," Proc. ICASSP, vol.I, pp57-60, 1994.
7. S. Takahashi, "Phoneme HMM's constrained by frame correlations," Proc. ICASSP, pp. 219-222, 1993.
8. K. K. Paliwal, "Use of temporal correlation between successive frames in hidden Markov model based Speech recognizer," Proc. ICASSP, pp.215-218, 1993.
9. M. Ostendorf and S.Roukos, "A stochastic segment model for phoneme-based continuous speech recognition," IEEE Trans. On Acoustics, Speech and Signal Processing, vol.37, no.12, pp.1857- 1869, 1989.
10. C. J.Wellekens, "Explicit correlation in hidden Markov model for Speech Recognition," Proc. ICASSP, pp.383-386, 1987.
11. S. Furui, "Speaker independent isolated word rcognition using dynamic features of speech spectrum," IEEE Trans. Acoust., Speech, Signal Processing, vol.ASSP-34, pp.52-59, 1986.
12. K. Tokuda, T. Kobayashi and S. Imai, "Speech parameter generation from HMM using dynamic features," Proc. ICASSP, pp.660- 663, 1995.
13. K. Tokuda, T. Masuko, T. Yamada, T. Kobayashi and S. Imai, "An algorithm for speech parameter generation from continuous mixture HMMs with dynamic features," Proc. EUROSPEECH, pp.757-760, 1995.
14. K. Tokuda, T. Yoshimura, T. Masuko, T. Kobayashi, T. Kitamura, "Speech parameter generation algorithms for HMM-based speech synthesis," Proc. ICASSP, vol.3, pp.1315-1318, June 2000.
15. T. Yoshimura, K. Tokuda, T. Masuko, T. Kobayashi and T. Kitamura, "Simultaneous modeling of spectrum, pitch and duration in HMM-based speech synthesis," Proc. EUROSPEECH, pp.2347- 2350, 1999.
16. T. Yoshimura, K. Tokuda, T. Masuko, T. Kobayashi and T. Kitamura, "Speaker Interpolation in HMM-Based Speech Synthesis System," Proc. EUROSPEECH, pp.2523-2526, 1997.
17. M. Tamura, T. Masuko, K. Tokuda and T. Kobayashi, "Adaptation of pitch and spectrum for HMM-based speech synthesis using MLLR," Proc. ICASSP, vol.2, pp.805-808, May 2001.
18. K. Shichiri, A. Sawabe, K. Tokuda, T. Masuko, T. Kobayashi, T. Kitamura, "Eigenvoices for HMM-based speech synthesis," Proc. ICSLP, pp.1269-1272, 2002.
19. Y. Minami, E. McDermott, A. Nakamura, S. Katagiri, "A recognition method with parametric trajectory synthesized using direct relations between static and dynamic feature vector time series," Proc. ICASSP, vol.I, pp.957-960, 2002.
20. K. S. Van Horn, "A Maximum-entropy solution to the framedependency problem in speech recognition," Tech. Rep., Dept. of Computer Science, North Dakota State University, Nov. 2001.
21. K. Koishida, K. Tokuda, T. Masuko and T. Kobayashi, "Vector quantization of speech spectral parameters using statistics of dynamic features," Proc. ICSP, pp.247-252, 1997.
22. T. Fukada, K. Tokuda, T. Kobayashi and S. Imai, "An adaptive algorithm for mel-cepstral analysis of speech," in Proc. ICASSP, 1992, pp.137-140.
23. A. Acero, "Formant analysis and synthesis using hidden Markov models," Proc. EUROSPEECH, pp.1047-1050, 1999.