Comparison of Formant Enhancement Methods for HMM-Based Speech Synthesis

7th ISCA Workshop on Speech Synthesis, SSW 2010

Volumn , Issue , 2010, Pages 334-339

  Raitio, Tuomo ^a   Suni, Antti ^b   Pulakka, Hannu ^a   Vainio, Martti ^b   Alku, Paavo ^a  

^a AALTO UNIVERSITY   (Finland)

^b UNIVERSITY OF HELSINKI   (Finland)

Author keywords

formant enhancement; hidden Markov model; over smoothing; speech synthesis

Indexed keywords

SPEECH SYNTHESIS;

ALL-POLE MODELING; FORMANT ENHANCEMENT; HIDDEN MARKOV MODEL-BASED SPEECH SYNTHESIS; HIDDEN-MARKOV MODELS; MODEL TRAINING; OVER-SMOOTHING; PERFORMANCE; SPECTRAL ENVELOPES; SPECTRAL MODELING; SPEECH SOUNDS;

HIDDEN MARKOV MODELS;

EID: 84865718521     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (26)

1. Tokuda, K., Masuko, T., Yamada, T., Kobayashi, T. and Imai, S., “An algorithm for speech parameter generation from continuous mixture HMMs with dynamic features”, in Proc. Eurospeech, 1:757-760, 1995.
2. Yoshimura, T., Tokuda, K., Masuko, T., Kobayashi, T. and Kitamura, T., “Simultaneous modeling of spectrum, pitch and duration in HMM-based speech synthesis”, in Proc. Eurospeech, 2374-2350, Sep. 1999.
3. Tokuda, K., Zen, H. and Black, A. W., “An HMM-based speech synthesis system applied to English”, in Proc. 2002 IEEE Workshop on Speech Synthesis, 227-230, Sep. 2002.
4. Zen, H., Tokuda, K. and Black, A. W., “Statistical parametric speech synthesis”, Speech Commun., 51(11):1039-1064, 2009.
5. Makhoul, J., “Linear prediction: A tutorial review”, in Proc. of the IEEE, 63(4):561-580, Apr. 1975.
6. Fukada, T., Tokuda, K., Kobayashi, T., Imai, S., “An adaptive algorithm for mel-cepstral analysis of speech”, in Proc. ICASSP, 137-140, 1992.
7. Tokuda, K., Zen, H. and Kitamura, T., “Trajectory modeling based on HMMs with the explicit relationship between static and dynamic features”, In Proc. Eurospeech, 865-868. Sep. 2003.
8. Wu, Y.-J. and Wang, R.-H., “Minimum generation error training for HMM-based speech synthesis”, in Proc. ICASSP, 89-92, 2006.
9. Toda, T. and Tokuda, K., “A speech parameter generation algorithm considering global variance for HMM-based speech synthesis”, IEICE Trans. Inf. & Syst., E90-D(5):816-824, May 2007.
10. Masuko, T., Tokuda, K. and Kobayashi, T., “A study on conditional parameter generation from HMM based on maximum likelihood criterion”, in Proc. Autumn Meeting of ASJ, 209-210, 2003. [in Japanese]
11. Ling, Z.-H., Wu Y.-J., Wang Y.-P., Qin, L. and Wang, R.-H., “USTC system for Blizzard Challenge 2006 an improved HMM-based speech synthesis method”, Blizzard Challenge Workshop, 2006.
12. Chen, J.-H. and Gersho, A., “Adaptive postfiltering for quality enhancement of coded speech”, IEEE Trans. on Speech and Audio Processing, 3(1):59-71, Jan. 1995.
13. Zen, H., Nose, T., Yamagishi, J., Sako, S., Masuko, T., Black, A. W. and Tokuda, K., “The HMM-based speech synthesis system (HTS) version 2.0”, in Sixth ISCA Workshop on Speech Synthesis, 294-299, Aug. 2007.
14. HTS, “HMM-based speech synthesis system”, Apr. 2009. Online: http://hts.sp.nitech.ac.jp
15. Wu, Y.-J., “Research on HMM-based Speech Synthesis”, Ph.D Thesis, University of Science and Technology of China, 2006. [in Chinese]
16. Oura, K., Zen, H., Nankaku, Y., Lee, A. and Tokuda, K., “Postfiltering for HMM-based speech synthesis using mel-LSPs”, Proc. Autumn Meeting of ASJ, pp. 367-368, 2007. [in Japanese]
17. Soong, F. K. and Juang, B.-H., “Line spectrum pair (LSP) and speech data compression”, Proc. ICASSP, 9:37-40, 1984.
18. Flanagan, J. L., “Speech Analysis, Synthesis and Perception”, 2nd ed., Springer-Verlag, 1972.
19. Raitio, T., Suni, A., Pulakka, H., Vainio, M. and Alku, P., “HMM-based Finnish text-to-speech system utilizing glottal inverse filtering”, Proc. Interspeech, 2008.
20. Raitio, T., Suni, A., Yamagishi, J., Pulakka, H., Nurminen, J., Vainio, M. and Alku, P., “HMM-based speech synthesis utilizing glottal inverse filtering”, IEEE Trans. Audio, Speech, and Language Processing, (in press)
21. Alku, P., Tiitinen, H. and Näätänen, R., “A method for generating natural-sounding speech stimuli for cognitive brain research”, Clinical Neurophysiology, 110:1329-1333, 1999.
22. Alku, P., “Glottal wave analysis with pitch synchronous iterative adaptive inverse filtering”, Speech Commun. 11(2-3):109-118, Jun. 1992.
23. Moore, B. C. J. and Glasberg, B. R., “A revision of Zwicker's loudness model”, ACTA Acustica, 82:335-345, 1996.
24. Zen, H., Tokuda, K., Masuko, T., Kobayashi, T. and Kitamura, T., “Hidden semi-Markov model based speech synthesis”, Proc. Interspeech, 2:1397-1400, Oct. 2004.
25. Vainio, M., Suni, A. and Sirjola, P., “Accent and prominence in Finnish speech synthesis”, Proc. of the 10th International Conference on Speech and Computer, 309-312, Oct. 2005.
26. Recommendation ITU-T P.800 “Methods for subjective determination of transmission quality”, International Telecommunication Union, Aug. 1996.