Wavelets for intonation modeling in HMM speech synthesis

8th ISCA Workshop on Speech Synthesis, SSW 2013

Volumn , Issue , 2013, Pages 285-290

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

^a UNIVERSITY OF HELSINKI   (Finland)

^b AALTO UNIVERSITY   (Finland)

Author keywords

HMM based synthesis; intonation modeling; wavelet decomposition

Indexed keywords

CELL PROLIFERATION; CONTINUOUS SPEECH RECOGNITION; DECISION TREES; SPEECH SYNTHESIS; WAVELET DECOMPOSITION;

COARSE TIME; HMM-BASED; HMM-BASED SYNTHESIS; INTONATION MODELING; LEXICAL TONES; LINGUISTIC UNITS; PITCH-CONTOUR; TEMPORAL SCALE; TIME-SCALES; WAVELETS DECOMPOSITION;

LINGUISTICS;

EID: 84946045633     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Daubechies, I., "Ten lectures on wavelets", Philadelphia, SIAM, 1992.
2. Fujisaki, H., Hirose, K., Halle, P., and Lei, H., "A generative model for the prosody of connected speech in Japanese", Ann. Rep. Eng. Research Institute 30: 75-80, 1971.
3. Kruschke, H. and Lenz, M., "Estimation of the parameters of the quantitative intonation model with continuous wavelet analysis", in Proc. Eurospeech'03, 4, pp. 2881-2884, Geneva, 2003.
4. Lei, M., Wu, Y. J., Ling, Z. H., and Dai, L. R., "Investigation of prosodic F0 layers in hierarchical F0 modeling for HMM-based speech synthesis", Proc. IEEE Int. Conf. Signal Processing (ICSP) 2010, 613-616.
5. Mallat, S., "A wavelet tour of signal processing", Academic Press, San Diego, 1998.
6. Mishra, T., van Santen, J., and Klabbers, E., "Decomposition of pitch curves in the general superpositional intonation model", Speech Prosody, Dresden, Germany, 2006.
7. Öhman, S., "Word and sentence intonation: a quantitative model", STLQ progress status report, 2-3:20-54, 1967.
8. L. Rabiner, "On the use of autocorrelation analysis for pitch detection", IEEE Trans. Acoustics, Speech, and Signal Processing, vol. 25, no. 1, pp. 24-33, 1977.
9. 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. on Audio, Speech, and Lang. Proc., 19(1):153-165, 2011.
10. van Santen, J. P. H., Mishra, T., and Klabbers, E., "Estimating phrase curves in the general superpositional intonation model", Proc. 5th ISCA speech synthesis workshop, Pittsburgh, 2004.
11. Stan, A. and Giurgiu, M., "A Superpositional Model Applied to F0 Parameterization using DCT for Text-to-Speech Synthesis", Proceedings of 6th Conference on Speech Technologoy and Human- Computer Dialogue (SpeD), 2011, 1-6, Brasov.
12. Teutenberg, J., Watson, C. I., and Riddle, P., "Modelling and synthesising F0 contour with the discrete cosine transform", ICASSP 2008, 3973-3976, 2008.
13. Vainio, M., Suni, A., and Sirjola, P., "Accent and prominence in Finnish speech synthesis", Proc. 10th Int. Conf. Speech and Computer (Specom 2005), 309-312.
14. Yu, K. and Young, S., "Continuous F0 Modeling for HMM based statistical parpametric speech synthesis", Trans. Audio, Speech and Lang. Proc., 19:5, 1071-1079, 2011.
15. Zen, H. and Braunschweiler, N., "Context-dependent additive log F0 model for HMM-based speech synthesis", Proc. Interspeech 2009: 2091-2094.
16. Zen, H., Nose, T., Yamagishi, J., Sako, S., Masuko, T., Black, A., Tokuda, K., 2007. The HMM-based speech synthesis system (HTS) version 2.0. In: SSW6. pp. 294-299.