Predicting Underlying Pitch Targets for Intonation Modeling

4th ITRW on Speech Synthesis, SSW 2001

Volumn , Issue , 2001, Pages

  Sun, Xuejing ^a  

^a NORTHWESTERN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MEAN SQUARE ERROR;

APPROXIMATION MODELING; CORRELATION COEFFICIENT; DELAY WINDOWS; INTONATION MODELING; NONLINEAR REGRESSION TECHNIQUE; PITCH ACCENTS; PITCH TARGET; PREDICTIVE POWER; ROOT MEAN SQUARE ERRORS; TIME-DELAYS;

RECURRENT NEURAL NETWORKS;

EID: 85133491266     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. Bishop, C. M. Neural networks for pattern recognition. Oxford University Press, UK. 1995.
2. Chen, S. H., Hwang, S. H., and Wang, Y. R. “An RNN-based prosodic information synthesizer for Mandarin text-to-speech,” IEEE Trans. Speech and Audio Proc., 6(3):226-239, 1998.
3. D'Alessandro, C., Mertens, P., “Automatic pitch contour stylisation using a model of tonal perception”, Comput. Speech Language 9, 257-288, 1995.
4. Dusterhoff, K. E., Black, A. W., and Taylor, P. A. “Using decision trees within the tilt intonation model to predict F0 contours”, Proc. Of Eurospeech 99, 1999.
5. Schmid, H. “Improvements in Part-of-Speech Tagging with an Application to German”. Proceedings of the ACL SIGDAT-Workshop. March 1995.
6. http://www.festvox.org
7. http://www.speech.kth.se/NICO/index.html
8. Moulines, E., and Charpentier, F. “Pitch-Synchronous Waveform Processing Techniques for Text-To-Speech Synthesis Using Diphones”, Speech Communication, 9: 453-467, 1990.
9. Ratkowsky, D. A. Handbook of nonlinear regression models, Marcel Dekker, Inc. New York, New York, 1990.
10. Silverman, K., Beckman, M., Pitrelli, J., Ostendorf, M., Wightman, C., Price, P., Pierrehumbert, J., Hirschberg, J., “ToBI: A standard for labelling English prosody”, Proc. of ICSLP 92. Banff, Alberta, pp. 867-870, 1992.
11. Ström, N. “Phoneme probability estimation with dynamic sparsely connected artificial neural networks,” The Free Speech Journal (www.cse.ogi.edu/CSLU/fsj/), 5, 1997.
12. Sun, X., Xu, C. X., and Xu, Y., “Experiment on pitch target approximation model for generating Mandarin F0 contour”, 141st ASA meeting, Chicago, 2001
13. Sundberg, J. "Maximum speed of pitch changes in singers and untrained subjects", J. Phon. 7, 71-79, 1979.
14. 't Hart, J., Collier, R., and Cohen, A. A perceptual study of intonation, Cambridge University Press, UK, 1990.
15. Taylor, P.A., “Analysis and synthesis of intonation using the Tilt model”, J. Acoust. Soc. Am. 107, 1697-1714, 2000.
16. Traber, C. “F0 generation with a database of natural F0 patterns and with a neural network,” in Talking Machines: Theories, Models, and Designs, G. Bailey, C. Benoit, and T. R. Wawallis, Eds. Amsterdam, The Netherlands: Elsevier, pp 287-304, 1992.
17. Xu, C. X., Xu, Y. and Luo, L-S. “A pitch target approximation model for F0 contours in Mandarin”, Proc. of The 14th International Congress of Phonetic Sciences, San Francisco. pp. 2359-2362, 1999.
18. Xu, Y. and Sun, X., "How fast can we really change pitch? Maximum speed of pitch change revisited", Proc. of The 6th International Conference on Spoken Language Processing, Beijing, pp. 666-669, 2000.
19. Xu, Y. and Wang, E., “Pitch targets and their realization: Evidence from Mandarin Chinese”, Speech Communication 33 (4), 319-337, 2001.
20. Xu, Y. and Wang, E., "Phonetic targets as the link between speech production and speech perception", J. Acoust. Soc. Am. 108, Pt. 2, 2531-2532, 2000.