Comparing glottal-flow-excited statistical parametric speech synthesis methods

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

Volumn , Issue , 2013, Pages 7830-7834

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

^a AALTO UNIVERSITY   (Finland)

^b UNIVERSITY OF HELSINKI   (Finland)

Author keywords

excitation glottal flow; principal component analysis; pulse library; Statistical parametric speech synthesis

Indexed keywords

EXCITATION METHODS; GLOTTAL FLOW; PRINCIPAL COMPONENTS; STATE OF THE ART; STATISTICAL PARAMETRIC SPEECH SYNTHESIS; SUBJECTIVE LISTENING TEST; SYNTHETIC SPEECH;

PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING;

SPEECH SYNTHESIS;

EID: 84890462419     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2013.6639188     Document Type: Conference Paper

References (34)

1. H. Zen, K. Tokuda, and A. Black, "Statistical parametric speech synthesis," Speech Communication, vol. 51, no. 11, pp. 1039-1064, 2009.
2. T. E. Tremain, "The government standard linear predictive coding algorithm: LPC-10," Speech Technology, vol. 1, pp. 40-49, Apr. 1982.
3. T. Yoshimura, K. Tokuda, T. Masuko, T. Kobayashi, and T. Kitamura, "Mixed excitation for HMM-based speech synthesis," in Proc. Eurospeech, 2001, pp. 2259-2262.
4. S. J. Kim and M. Hahn, "Two-band excitation for HMM-based speech synthesis," IEICE Trans. Inf. &Syst., vol. E90-D, 2007.
5. H. Kawahara, I. Masuda-Katsuse, and A. de Cheveigne, "Restructuring speech representations using a pitch-adaptive timefrequency smoothing and an instantaneous-frequency-based F0 extraction: possible role of a repetitive structure in sounds," Speech Commun., vol. 27, Apr. 1999.
6. H. Kawahara, Jo Estill, and O. Fujimura, "Aperiodicity extraction and control using mixed mode excitation and group delay manipulation for a high quality speech analysis, modification and synthesis system STRAIGHT," in 2nd International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA), Sep. 2001.
7. R. Maia, T. Toda, H. Zen, Y. Nankaku, and K. Tokuda, "An excitation model for HMM-based speech synthesis based on residual modeling," in SSW6, Aug. 2007.
8. R. Maia, H. Zen, and M. J. F. Gales, "Statistical parametric speech synthesis with joint estimation of acoustic and excitation model parameters," in SSW7, Sep. 2010, pp. 88-93.
9. H. Zen and T. Toda, "An overview of nitech HMMbased speech synthesis system for Blizzard Challenge 2005," in The Blizzard Challenge 2005 workshop, 2005, http://festvox.org/blizzard.
10. J. Cabral, S. Renalds, K. Richmond, and J. Yamagishi, "Towards an improved modeling of the glottal source in statistical parametric speech synthesis," in SSW6, 2007, pp. 113-118.
11. J. Cabral, S. Renalds, K. Richmond, and J. Yamagishi, "Glottal spectral separation for parametric speech synthesis," in Proc. Interspeech, 2008, pp. 1829-1832.
12. J. Holmes, "The influence of glottal waveform on the naturalness of speech from a parallel formant synthesizer," IEEE Trans. Audio and Electroacoustics, vol. 21, no. 3, pp. 298-305, Jun. 1973.
13. K. Matsui, S. D. Pearson, K. Hata, and T. Kamai, "Improving naturalness in text-to-speech synthesis using natural glottal source," in Proc. ICASSP, Apr. 1991, vol. 2, pp. 769-772.
14. T. Raitio, A. Suni, H. Pulakka,M. Vainio, and P. Alku, "HMMbased Finnish text-to-speech system utilizing glottal inverse filtering," in Proc. Interspeech, 2008, pp. 1881-1884.
15. T. Raitio, A. Suni, J. Yamagishi, H. Pulakka, J. Nurminen, M. Vainio, and P. Alku, "HMM-based speech synthesis utilizing glottal inverse filtering," IEEE Trans. on Audio, Speech, and Lang. Proc., vol. 19, no. 1, pp. 153-165, Jan. 2011.
16. A. Suni, T. Raitio, M. Vainio, and P. Alku, "The GlottHMM speech synthesis entry for Blizzard Challenge 2010," in The Blizzard Challenge 2010 workshop, 2010, http://festvox.org/blizzard.
17. T. Drugman, G. Wilfart, and T. Dutoit, "A deterministic plus stochastic model of the residual signal for improved parametric speech synthesis," in Proc. Interspeech, 2009, pp. 1779-1782.
18. J. Sung, D. Hong, K. Oh, and N. Kim, "Excitation modeling based on waveform interpolation for HMM-based speech synthesis," in Proc. Interspeech, 2010, pp. 813-816.
19. T. Drugman and T. Dutoit, "The deterministic plus stochastic model of the residual signal and its applications," IEEE Trans. on Audio, Speech, and Lang. Proc., vol. 20, no. 3, pp. 968-981, Mar. 2012.
20. T. Drugman, G. Wilfart, A. Moinet, and T. Dutoit, "Using a pitch-synchronous residual codebook for hybrid HMM/frame selection speech synthesis," in Proc. IEEE Int. Conf. on Acoust. Speech and Signal Proc. (ICASSP), Apr. 2009, pp. 3793-3796.
21. T. Raitio, A. Suni, H. Pulakka, M. Vainio, and P. Alku, "Utilizing glottal source pulse library for generating improved excitation signal for HMM-based speech synthesis," in Proc. IEEE Int. Conf. on Acoust. Speech and Signal Proc. (ICASSP), 2011, pp. 4564-4567.
22. A. Suni, T. Raitio, M. Vainio, and P. Alku, "The GlottHMM entry for blizzard challenge 2011: Utilizing source unit selection in hmm-based speech synthesis for improved excitation generation," in The Blizzard Challenge 2011 workshop, 2011, http://festvox.org/blizzard.
23. A. Suni, T. Raitio, M. Vainio, and P. Alku, "The GlottHMM entry for blizzard challenge 2012-hybrid approach," in The Blizzard Challenge 2012 workshop, 2011, http://festvox.org/blizzard.
24. P. Alku, "Glottal wave analysis with pitch synchronous iterative adaptive inverse filtering," Speech Commun., vol. 11, no. 2-3, pp. 109-118, 1992.
25. P. Alku, H. Tiitinen, and R. Naatanen, "A method for generating natural-sounding speech stimuli for cognitive brain research," Clinical Neurophysiology, vol. 110, pp. 1329-1333, 1999.
26. M. Marume, H. Zen, Y. Nankaku, K. Tokuda, and T. Kitamura, "An investigation of spectral parameters for HMMbased speech synthesis," in Proc. Autumn Meeting of Acoust. Soc. of Japan, Sep. 2006, (In Japanese).
27. T. Drugman, M. Thomas, J. Gudnason, P. Naylor, and T. Dutoit, "Detection of glottal closure instants from speech signals: A quantitative review," IEEE Trans. on Audio, Speech, and Lang. Proc., vol. 20, no. 3, pp. 994-1006, March 2012.
28. M. Thomas, J. Gudnason, and P. Naylor, "Data-driven voice source waveform modelling," in Proc. IEEE Int. Conf. on Acoust. Speech and Signal Proc. (ICASSP), April 2009, pp. 3965-3968.
29. J. Gudnason, M. Thomas, P. Naylor, and D. Ellis, "Voice source waveform analysis and synthesis using principal component analysis and Gaussian mixture modelling," in Proc. Interspeech, 2009, pp. 108-111.
30. J. Gudnason, M. Thomas, D.P.W. Ellis, and P.A. Naylor, "Data-driven voice source waveform analysis and synthesis," Speech Commun., vol. 54, no. 2, pp. 199-211, Feb. 2012.
31. H. Zen, T. Nose, J. Yamagishi, S. Sako, T. Masuko, A. Black, and K. Tokuda, "The HMM-based speech synthesis system (HTS) version 2.0," in SSW6, Aug. 2007, pp. 294-299.
32. HTS, "HMM-based speech synthesis system," Nov. 2012, http://hts.sp.nitech.ac.jp.
33. K. Tokuda, T.Masuko, N.Miyazaki, and T. Kobayashi, "Multispace probability distribution HMM," IEICE Trans. Inf. &Syst., vol. E85-D, no. 3, pp. 1455-464, 2002.
34. M. Vainio, Artificial Neural Network Based Prosody Models for Finnish Text-to-Speech Synthesis, Ph.D. thesis, University of Helsinki, Finland, Dec. 2001.