Attributing modelling errors in HMM synthesis by stepping gradually from natural to modelled speech

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 2015-August, Issue , 2015, Pages 4220-4224

  Merritt, Thomas ^a   Latorre, Javier ^b   King, Simon ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

^b TOSHIBA CORPORATION   (Japan)

Author keywords

hidden Markov modelling; speech synthesis; vocoding

Indexed keywords

HIDDEN MARKOV MODELS; SPEECH COMMUNICATION; SPEECH SYNTHESIS;

LINE SPECTRAL PAIRS; MODELLING ERROR; MULTI-DIMENSIONAL SCALING; SPECTRAL PARAMETERS; STATISTICAL PARAMETRIC SPEECH SYNTHESIS; SYNTHETIC SPEECH; TEXT-TO-SPEECH SYSTEM; VOCODING;

AUDIO SIGNAL PROCESSING;

EID: 84946042252     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2015.7178766     Document Type: Conference Paper

References (25)

1. Simon King and Vasilis Karaiskos, 'The Blizzard Challenge 2010," in Proc. Blizzard Challenge, Kansai Science City, Japan, 2010
2. Simon King and Vasilis Karaiskos, "The Blizzard Challenge 2011," in Proc. Blizzard Challenge, Thrin, Italy, 2011
3. Simon King and Vasilis Karaiskos, "The Blizzard Challenge 2012," in Proc. Blizzard Challenge, Portland, USA, 2012
4. Simon King, "Measuring a decade of progress in text-tospeech," Loquens, vol. 1, no. 1,2014
5. Jianhua Tao,K eikichi Hirose,K eiichi Tokuda, Alan W. Black, and Simon King, "Introduction to the issue on statistical parametric speech synthesis," IEEE lournal of Selected Topics in Signal Processing, vol. 8, no. 2, pp. 170-172,2014
6. H. Zen and T. Toda, "An overview of Nitech HMM-based speech synthesis system for Blizzard challenge 2005," in Proc. of Interspeech, 2005, pp. 93-96
7. K. Tokuda, Y. Nankaku, T. Toda, H. Zen, J. Yamagishi, and K. Oura, "Speech synthesis based on hidden Markov models," Proceedings of the IEEE, vol. 101, no. 5, pp. 1234-1252, May 2013
8. Toda Tomoki and Keiichi Tokuda, "A speech parameter generation algorithm considering global variance for HMM-based speech synthesis," IEICE TRANSACTIONS on Information and Systems, vol. 90, no. 5, pp. 816-824,2007
9. Simon King, "An introduction to statistical parametric speech synthesis," Sadhana, vol. 36, no. 5, pp. 837-852,2011
10. Keiichi Tokuda, Takayoshi Yoshimura, Takashi Masuko, Takao Kobayashi, and Tadashi Kitamura, "Speech parameter generation algorithms for HMM-based speech synthesis," in ICASSP 2000. IEEE, 2000, vol. 3, pp. 1315-1318
11. Korin Richmond, "Trajectory mixture density networks with multiple mixtures for acoustic-articulatory inversion," in Advances in Nonlinear Speech Processing, pp. 263-272. Springer, 2007
12. Heiga Zen, Keiichi Tokuda, and Alan W. Black, "Statistical parametric speech synthesis," Speech Communication, vol. 51, no. 11, pp. 1039-1064, 2009
13. Thomas Merritt and Simon King, "Investigating the shortcomings of HMM synthesis," in Proc. 8th ISCA Workshop on Speech Synthesis (SSW8), pp. 185-190
14. Thomas Merritt, Thomo Raitio, and Simon King, "Investigating source and filter contributions, and their interaction, to statistical parametric speech synthesis," in Proc. Interspeech, 2014
15. Gustav Eje Henter, Thomas Merritt, Matt Shannon, Catherine Mayo, and Simon King, "Measuring the perceptual effects of modelling assumptions in speech synthesis using stimuli constructed from repeated natural speech," in Proc. Interspeech, 2014
16. V. Wan, J. Latorre, K. Yanagisawa, N. Braunschweilers, L. Chen, M. Gales, and M. Akamine, "Building HMM-TTS models on diverse data," IEEE lournal of Selected Topics in Signal Processing, vol. 8, no. 2, 2014
17. K. Tokuda, T. Kobayashi, T. Masuko, and S. Imai, "Melgeneralized cepstral analysis-A unified approach to speech spectral estimation," in ICSLP, 1994
18. S Imai, T Kobayashi, K Tokuda, T Masuko, K Koishida, S Sako, and H Zen, "Speech signal processing toolkit (SPTK), version 3.3," 2009
19. P. J B Jackson and C.H. Shadle, "Pitch-scaled estimation of simultaneous voiced and turbulence-noise components in speech," IEEE Transactions on Speech and Audio Processing, vol. 9, no. 7, pp. 713-726, Oct 2001
20. Hanna Silen, Elina Helander, Jani Nurminen, and Moncef Gabbouj, "Ways to implement global variance in statistical speech synthesis," in Proc. Interspeech, 2012
21. H. Zen and MJ.F Gales, "Decision tree-based context clustering based on cross validation and hierarchical priors," in Proc. ICASSP, 2011,pp. 4560-4563
22. J. Latorre, M.J.F. Gales, S. Buchholz, K. Knill, M. Tamura, Y. Ohtani, and M. Akamine, "Continuous FO in the sourceexcitation generation for HMM-based TTS: Do we need voiced/unvoiced classification?," in Proc. ICASSP, 2011, pp. 4724-4727
23. Catherine Mayo, Robert A. Clark, and Simon King, "Listeners weighting of acoustic cues to synthetic speech naturalness: A multidimensional scaling analysis," Speech Communication, vol. 53, no. 3, pp. 311-326, 2011
24. Ingwer Borg and Patrick J.F. Groenen, Modern Multidimensional Scaling, Springer, 2005
25. Joseph B Kruskal and Myron Wish, Multidimensional scaling, vol. 11, Sage, 1978