A system for voice conversion based on probabilistic classification and a harmonic plus noise model

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

Volumn 1, Issue , 1998, Pages 281-284

  Stylianou, Y ^a   Cappe, O ^b  

^a AT AND T LABS RESEARCH   (United States)

^b TELECOM PARISTECH   (France)

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN MIXTURE MODEL; HARMONIC PLUS NOISE MODEL; MAPPING FUNCTIONS; NOISE REPRESENTATION; PARAMETRIC FUNCTIONS; PERCEPTUAL DISTANCE; PROBABILISTIC CLASSIFICATION; PROSODIC MODIFICATIONS;

ACOUSTIC NOISE; SIGNAL PROCESSING;

SPEECH PROCESSING;

EID: 0031644287     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.1998.674422     Document Type: Conference Paper

References (14)

1. M. Abe, S. Nakamura, K. Shikano, and H. Kuwabara, "Voice conversion through vector quantization," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, pp. 655-658, 1988.
2. H. Kuwabara and Y. Sagisaka, "Acoustic characteristics of speaker individuality: Control and conversion," Speech Communication, vol. 16, pp. 165-173, Feb. 1995.
3. N. Iwahashi and Y. Sagisaka, "Speech spectrum transformation by speaker interpolation," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, 1994.
4. H. Mizuno and M. Abe, "Voice conversion based on piece-wise linear conversion rule of formant frequency and spectrum tilt," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, 1994.
5. H. Valbret, E. Moulines, and J. Tubach, "Voice transformation using PSOLA techniques," Speech Communication, vol. 11, pp. 175-187, Jun 1992.
6. C. Mokbel and G. Chollet, "Speech recognition in adverse environments: speech enhancement and spectral transformations," Proc. IEEEICASSP-91, pp. 925-928,May 1991.
7. L. Neumeyer and M. Weintraub, "Probabilistic optimum filtering for robust speech recognition." in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, (Adelaide, Australia), pp. 417-420,1994.
8. R. C. Rose and D. A. Reynolds, "Text independent speaker identification using automatic acoustic segmentation," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, pp. 293-296,1990.
9. R. O. Duda and P. E. Hart, Pattern classification and scene analysis. New York: John Wiley & Sons, Inc., 1973.
10. A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," J. Royal Statist. Soc. Ser. B (methodological), vol. 39, no. 1, pp. 1-22 et 22-38 (discussion), 1977.
11. Y. Linde, A. Buzo, and R. Gray, "An algorithm for vector quantizer design," IEEE Trans, on Communication, vol. 28, no. 1, 1980.
12. S. M. Kay, Fundamentals of statistical signal processing: Estimation theory. PH signal processing series, Prentice-Hall, 1993.
13. Y. Stylianou, J. Laroche, and E. Moulines, "High-Quality Speech Modification based on a Harmonic + Noise Model.," Proc. EUROSPEECH, 1995.
14. O. Cappe and E. Moulines, "Regularization techniques for discrete cepstrum estimation," IEEE Signal Processing Letters, vol. 3(4), pp. 100-102, April 1996.