Effects of speaker adaptive training on tensor-based arbitrary speaker conversion

13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012

Volumn 1, Issue , 2012, Pages 98-101

  Saito, Daisuke ^a   Minematsu, Nobuaki ^a   Hirose, Keikichi ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

Eigenvoice; Gaussian mixture model; Speaker adaptive training; Tucker decomposition; Voice conversion

Indexed keywords

EIGENVOICES; GAUSSIAN MIXTURE MODEL; SPEAKER ADAPTIVE TRAININGS; TUCKER DECOMPOSITIONS; VOICE CONVERSION;

SPEECH PROCESSING; TENSORS;

SPEECH RECOGNITION;

EID: 84878378722     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. M. Abe, S. Nakamura, K. Shikano, and H. Kuwabara, "Voice conversion through vector quantization," Proc. ICASSP, pp. 655-658, 1988.
2. A. Kain and M. W. Macon, "Spectral voice conversion for text-to-speech synthesis," Proc. ICASSP, vol. 1, pp. 285-288, 1998.
3. L. Deng, A. Acero, L. Jiang, J. Droppo, and X. Huang, "High-performance robust speech recognition using stereo training data," Proc. ICASSP, pp. 301-304, 2001.
4. Y. Stylianou, O. Cappé, and E. Moulines, "Continuous probabilistic transform for voice conversion," IEEE Trans. on Speech and Audio Processing, vol. 6, no. 2, pp. 131-142, 1998.
5. C. H. Lee and C. H. Wu, "Map-based adaptation for speech conversion using adaptation data selection and non-parallel training," Proc. INTERSPEECH, pp. 2254-2257, 2006.
6. T. Toda, Y. Ohtani, and K. Shikano, "Eigenvoice conversion based on Gaussian mixture model," Proc. INTERSPEECH, pp. 2446-2449, 2006.
7. R. Kuhn, J-C. Junqua, P. Nguyen, and N. Niedzielski, "Rapid speaker adaptation in Eigenvoice space," IEEE Trans. on Speech and Audio Processing, vol. 8, no. 6, pp. 695-707, 2000.
8. P. Kenny, P. Ouellet, N. Dehak, V. Gupta, and P. Dumouchel, "A study of interspeaker variability in speaker verification," IEEE Trans. on Audio, Speech, and Language Processing, vol. 16, no. 5, pp. 980-988, 2008.
9. D. Saito, K. Yamamoto, N. Minematsu, and K. Hirose, "One-tomany voice conversion based on tensor representation of speaker space," Proc. INTERSPEECH, pp. 653-656, 2011.
10. T. Anastasakos, J. McDonough, R. Schwarts and J. Makhoul, "A compact model for speaker adaptive training," Proc. ICSLP, vol. 2, pp. 1137-1140, 1996.
11. Y. Ohtani, T. Toda, H. Saruwatari, and K. Shikano, "Speaker adaptive training for one-to-many eigenvoice conversion based on Gaussian mixture model," Proc. INTERSPEECH, pp. 1981-1984, 2007.
12. L. R. Tucker, "Some mathematical notes on three-mode factor analysis," Psychometrika, vol. 31, no. 3, pp. 279-311, 1966.
13. Y. Jeong, "Speaker adaptation based on the multilinear decomposition of training speaker models," Proc. ICASSP, pp. 4870-4873, 2010.
14. A. Kurematsu, K. Takeda, Y. Sagisaka, S. Katagiri, H. Kuwabara, and K. Shikano, "ATR Japanese speech database as a tool of speech recognition and synthesis," Speech Communication, vol.9, pp.357-363, 1990.
15. 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, pp.187-207, 1999.
16. T. Toda, A. W. Black, and K. Tokuda, "Voice conversion based on maximum-likelihood estimation of spectral parameter trajectory," IEEE Trans. on Audio, Speech, and Language Processing, vol. 15, no. 8, pp. 2222-2235, 2007.