A parameter generation algorithm using local variance for HMM-Based speech synthesis

IEEE Journal on Selected Topics in Signal Processing

Volumn 8, Issue 2, 2014, Pages 221-228

  Nose, Takashi ^a   Chunwijitra, Vataya ^a   Kobayashi, Takao ^a  

^a TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

HMM based speech synthesis; local variance; over smoothing problem; spectral parameter generation

Indexed keywords

CONVENTIONAL TECHNIQUES; DYNAMIC CHARACTERISTICS; HMM-BASED SPEECH SYNTHESIS; LOCAL VARIANCE; OBJECTIVE EVALUATION; OVER-SMOOTHING PROBLEM; SPECTRAL PARAMETERS; SUBJECTIVE EVALUATIONS;

ALGORITHMS; SPEECH SYNTHESIS; TRAJECTORIES;

PARAMETER ESTIMATION;

EID: 84897832343     PISSN: 19324553     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSTSP.2013.2283459     Document Type: Article

References (21)

1. H. Zen, K. Tokuda, and A. W. Black, "Statistical parametric speech synthesis," Speech Commun., vol. 51, no. 11, pp. 1039-1064, 2009
2. J. Yamagishi and T. Kobayashi, "Average-voice-based speech synthesis using HSMM-based speaker adaptation and adaptive training," IEICE Trans. Inf. Syst., vol. E90-D, no. 2, pp. 533-543, Feb. 2007 (Pubitemid 46279829)
3. T. Nose and T. Kobayashi, "Recent development of HMM-based expressive speech synthesis and its applications," in Proc. APSIPA ASC 2011, 2011 [Online]. Available: http://www.apsipa.org/proceedings-2011/pdf/ APSIPA189.pdf
4. T. Yoshimura, K. Tokuda, T. Masuko, T. Kobayashi, and T. Kitamura, "Simultaneous modeling of spectrum, pitch and duration in HMM-based speech synthesis," in Proc. EUROSPEECH, Sep. 1999, pp. 2347-2350
5. K. Tokuda, T. Kobayashi, and S. Imai, "Speech parameter generation from HMM using dynamic features," in Proc. ICASSP'95, May 1995, pp. 660-663
6. T. Yoshimura, K. Tokuda, T. Masuko, T. Kobayashi, and T. Kitamura, "Incorporating a mixed excitation model and postfilter into HMMbased text-to-speech synthesis," Syst. Comput. Jpn., vol. 36, no. 12, pp. 43-50, 2005 (Pubitemid 41495150)
7. T. Toda and K. Tokuda, "Speech parameter generation algorithm considering global variance for HMM-based speech synthesis," in Proc. INTERSPEECH '05-Eurospeech, 2005, pp. 2801-2804
8. T. Toda and K. Tokuda, "A speech parameter generation algorithm considering global variance for HMM-based speech synthesis," IEICE Trans. Inf. Syst., vol. E90-D, no. 5, pp. 816-824, May 2007
9. J. Yamagishi, H. Zen, Y.Wu, T. Toda, and K. Tokuda, "The HTS-2008 system: Yet another evaluation of the speaker-adaptive HMM-based speech synthesis system in the 2008 Blizzard Challenge," in Proc. Blizzard Challenge Workshop, 2008
10. Z. Ling,Y.Hu, and L.Dai, "Global variancemodeling on the log power spectrum of LSPs for HMM-based speech synthesis," in Proc. INTERSPEECH '10, Sep. 2010, pp. 825-828
11. S. Pan, Y. Nankaku, K. Tokuda, and J. Tao, "Global variance modeling on frequency domain delta LSP for HMM-based speech synthesis," in Proc. ICASSP '11, May 2011, pp. 4716-4719
12. H. Zen, M. Gales, Y. Nankaku, and K. Tokuda, "Product of experts for statistical parametric speech synthesis," IEEE Trans. Audio, Speech, Lang. Process., vol. 20, no. 3, pp. 794-805, Mar. 2012
13. G. E. Hinton, "Products of experts," in Proc. ICANN 99, 1999, vol. 1, pp. 1-6
14. H. Zen, K. Tokuda, and T. Kitamura, "Reformulating the HMM as a trajectory model by imposing explicit relationships between static and dynamic feature vector sequences," Comput. Speech Lang., vol. 21, no. 1, pp. 153-173, 2007 (Pubitemid 44537647)
15. Y. Wu, H. Zen, Y. Nankaku, and K. Tokuda, "Minimum generation error criterion considering global/local variance for HMM-based speech synthesis," in Proc. ICASSP '08, Mar. 2008, pp. 4621-4624
16. Y. Wu and R. Wang, "Minimum generation error training for HMMbased speech synthesis," in Proc. ICASSP '06,May 2006, pp. 889-892
17. V. Chunwijitra, T. Nose, and T. Kobayashi, "A speech parameter generation algorithm using local variance for HMM-based speech synthesis," in Proc. INTERSPEECH '12, 2012, pp. 1151-1154
18. H. Zen, K. Tokuda, T. Masuko, T. Kobayashi, and T. Kitamura, "A hidden semi-Markov model-based speech synthesis system," IEICE Trans. Inf. Syst., vol. E90-D, no. 5, pp. 825-834, May 2007
19. A. Kurematsu, K. Takeda, Y. Sagisaka, S. Katagiri, H. Kuwabara, and K. Shikano, "ATR Japanese speech database as a tool of speech recognition and synthesis," Speech Commun., vol. 9, no. 4, pp. 357-363, 1990
20. H. Kawahara, I. Masuda-Katsuse, and A. de Cheveigne, "Restructuring speech representations using a pitch-adaptive time-frequency smoothing and an instantaneous-frequency-based F0 extraction: Possible role of a repetitive structure in sounds," Speech Commun., vol. 27, no. 3-4, pp. 187-207, 1999
21. K. Shinoda and T.Watanabe, "MDL-based context-dependent subword modeling for speech recognition," J. Acoust. Soc. Jpn. (E), vol. 21, no. 2, pp. 79-86, Mar. 2000. (Pubitemid 30594111)