Noise-robust voice conversion based on sparse spectral mapping using non-negative matrix factorization

IEICE Transactions on Information and Systems

Volumn E97-D, Issue 6, 2014, Pages 1411-1418

  Aihara, Ryo ^a   Takashima, Ryoichi ^a   Takiguchi, Tetsuya ^a   Ariki, Yasuo ^a  

^a KOBE UNIVERSITY   (Japan)

Author keywords

Noise robustness; Non negative matrix factorization; Sparse representation; Voice conversion

Indexed keywords

FACTORIZATION; MATRIX ALGEBRA; PHOTOMAPPING;

GAUSSIAN MIXTURE MODEL; NOISE ROBUSTNESS; NONNEGATIVE MATRIX FACTORIZATION; PARALLEL TRAINING; SPARSE REPRESENTATION; SPEAKER CONVERSION; SPECTRAL CONVERSION; VOICE CONVERSION;

SPEECH PROCESSING;

EID: 84901806271     PISSN: 09168532     EISSN: 17451361     Source Type: Journal    
DOI: 10.1587/transinf.E97.D.1411     Document Type: Article

References (24)

1. Y. Stylianou, O. Cappe, and E. Moilines, "Continuous probabilistic transform for voice conversion, " IEEE Trans. Speech Audio Process., vol.6, no.2, pp.131-142, 1998.
2. A. Kain and M.W. Macon, "Spectral voice conversion for text-tospeech synthesis, " ICASSP, vol.1, pp.285-288, 1998.
3. C. Veaux and X. Robet, "Intonation conversion from neutral to expressive speech, " Interspeech, pp.2765-2768, 2011.
4. R. Aihara, R. Takashima, T. Takiguchi, and Y. Ariki, "GMM-based emotional voice conversion using spectrum and prosody features, " American Journal of Signal Processing, vol.2, no.5, 2012.
5. K. Nakamura, T. Toda, H. Saruwatari, and K. Shikano, "Speakingaid systems using GMM-based voice conversion for electrolaryngeal speech, " Speech Commun., vol.54, no.1, pp.134-146, 2012.
6. R. Aihara, R. Takashima, T. Takiguchi, and Y. Ariki, " Individualitypreserving voice conversion for articulation disorders based on Nonnegative Matrix Factorization, " ICASSP, pp.8037-8040, 2013.
7. M. Abe, S. Nakamura, K. Shikano, and H. Kuwabara, "Esophageal speech enhancement based on statistical voice conversion with gaussian mixture models, " ICASSP, pp.655-658, 1988.
8. H. Valbret, E. Moulines, and J.P. Tubach, "Voice transformation using PSOLA technique, " Speech Commun., vol.11, no.2-3, pp.175- 187, 1992.
9. T. Toda, A. Black, and K. Tokuda, "Voice conversion based on maximum likelihood estimation of spectral parameter trajectory, " IEEE Trans. Audio Speech Lang. Process., vol.15, no.8, pp.2222-2235, 2007.
10. E. Helander, T. Virtanen, J. Nurminen, and M. Gabbouj, "Voice conversion using partial least squares regression, " IEEE Trans. Audio Speech Lang. Process., vol.18, Issue:5, pp.912-921, 2010.
11. C.H. Lee and C.H. Wu, "MAP-based adaptation for speech conversion using adaptation data selection and non-parallel training, " Interspeech, pp.2254-2257, 2006.
12. T. Toda, Y. Ohtani, and K. Shikano, "Eigenvoice conversion based on Gaussian mixture model, " Interspeech, pp.2446-2449, 2006.
13. D. Saito, K. Yamamoto, N. Minematsu, and K. Hirose, "One-to many voice conversion based on tensor representation of speaker space, " Interspeech, pp.653-656, 2011.
14. D.D. Lee and H.S. Seung, "Algorithms for non-negative matrix factorization, " Neural Information Processing System, pp.556-562, 2001.
15. T. Virtanen, "Monaural sound source separation by non-negative matrix factorization with temporal continuity and sparseness criteria, " IEEE Trans. Audio Speech Lang. Process., vol.15, no.3, pp.1066-1074, 2007.
16. M.N. Schmidt and R.K. Olsson, "Single-channel speech separation using sparse non-negative matrix factorization, " Interspeech, 2006.
17. J.F. Gemmeke, T. Viratnen, and A. Hurmalainen, "Exemplar-based sparse representations for noise robust automatic speech recognition, " IEEE Trans. Audio Speech Lang. Process., vol.19, no.7, pp.2067-2080, 2011.
18. R. Takashima, T. Takiguchi, and Y. Ariki, "Exemplar-based voice conversion in noisy environment, " SLT, pp.313-317, 2012.
19. H. Kawahara, I. Masuda-Katsuse, and A. Cheveigne, "Restructuring speech representations using a pitch-adaptive time-frequency smoothing and an instantaneous-frequencybased F0 extraction: possible role of a repetitive structure in sounds, " Speech Commun., vol.27, no.3-4, pp.187-207, 1999.
20. B. Schuller, F. Weninger, M. Wollmer, Y. Sun, and G. Rigoll, "Nonnegative matrix factorization as noise-robust feature extractor for speech recognition, " ICASSP, 2010.
21. 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 Commun., vol.9, pp.357-363, 1990.
22. N. Kitaoka, T. Yamada, S. Tsuge, C. Miyajima, K. Yamamoto, T. Nishiura, M. Nakayama, Y. Denda, M. Fujimoto, T. Takiguchi, S. Tamura, S. Matsuda, T. Ogawa, S. Kuroiwa, K. Takeda, and S. Nakamura, "CENSREC-1-C: An evaluation framework for voice activity detection under noisy environments, " Acoustical Science and Technology, vol.30 (2009), no.5, pp.363-371, 2009.
23. International Telecommunication Union, "Methods for objective and subjective assessment of quality, " ITU-T Recommendation P.800, 2003.
24. Z. Wu, T. Virtanen, T. Kinnunen, E.S. Chng, and H. Li, "Exemplarbased voice conversion using non-negative spectrogram deconvolution, " SSW8, 2013.