Investigating the shortcomings of HMM synthesis

8th ISCA Workshop on Speech Synthesis, SSW 2013

Volumn , Issue , 2013, Pages 165-170

  Merritt, Thomas ^a   King, Simon ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

Hidden Markov models; Speech synthesis; Vocoding

Indexed keywords

SPEECH SYNTHESIS;

'CURRENT; CONDITION; FORMAL TESTING; HIDDEN-MARKOV MODELS; LISTENING TESTS; MODEL SYNTHESIS; MULTI-DIMENSIONAL SCALING; SYNTHESIS CONDITIONS; SYNTHESIZED SPEECH; VOCODING;

HIDDEN MARKOV MODELS;

EID: 85133164767     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. S. King, "An introduction to statistical parametric speech synthesis," Sadhana, vol. 36, no. 5, pp. 837-852, 2011.
2. H. Zen, K. Tokuda, and A. W. Black, "Statistical parametric speech synthesis," Speech Communication, vol. 51, no. 11, pp. 1039-1064, 2009. [Online]. Available: http://www. sciencedirect.com/science/article/pii/S0167639309000648
3. S. King and V. Karaiskos, "The Blizzard Challenge 2011," in Proc. Blizzard Challenge, Turin, Italy, 2011.
4. S. King and V. Karaiskos, "The Blizzard Challenge 2010," in Proc. Blizzard Challenge, Kansai Science City, Japan, 2010.
5. S. King and V. Karaiskos, "The Blizzard Challenge 2009," in Proc. Blizzard Challenge, Edinburgh, United Kingdom, 2009.
6. C. Mayo, R. A. Clark, and S. King, "Listeners weighting of acoustic cues to synthetic speech naturalness: A multidimensional scaling analysis," Speech Communication, vol. 53, no. 3, pp. 311-326, 2011.
7. C. Mayo, R. A. Clark, and S. King "Multidimensional scaling of listener responses to synthetic speech," 2005.
8. H. Kawahara, I. Masuda-Katsuse, and A. de Cheveigné, "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 communication, vol. 27, no. 3, pp. 187-207, 1999.
9. C. Liu and D. Kewley-Port, "STRAIGHT: A new speech synthesizer for vowel formant discrimination," Acoustics Research Letters Online, vol. 5, p. 31, 2004.
10. S. Imai, T. Kobayashi, K. Tokuda, T. Masuko, K. Koishida, S. Sako, and H. Zen, "Speech signal processing toolkit (SPTK), version 3.6," 2012.
11. 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, 2013.
12. T. Yoshimura, "Simultaneous modeling of phonetic and prosodic parameters, and characteristic conversion for HMM-based Text- To-Speech systems," Ph.D. dissertation, Ph. D. thesis, Nagoya Institute of Technology, 2002.
13. T. Tomoki and K. 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.
14. IEEE, "IEEE recommended practice for speech quality measurement," vol. 17, no. 3, pp. 225-246, sep 1969.
15. M. Cooke, C. Mayo, and C. Valentini-Botinhao, "Intelligibilityenhancing speech modifications: the Hurricane Challenge," in Proc. Interspeech, Lyon, France, 2013.
16. K. Richmond, P. Hoole, and S. King, "Announcing the electromagnetic articulography (day 1) subset of the mngu0 articulatory corpus," in Proc. Interspeech, Florence, Italy, August 2011, pp. 1505-1508.
17. I. Borg and P. J. Groenen, Modern Multidimensional Scaling. Springer, 2005.