Exemplar-based voice conversion in noisy environment

2012 IEEE Workshop on Spoken Language Technology, SLT 2012 - Proceedings

Volumn , Issue , 2012, Pages 313-317

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

^a KOBE UNIVERSITY   (Japan)

Author keywords

exemplar based; noise robustness; non negative matrix factorization; sparse coding; voice conversion

Indexed keywords

EXEMPLAR-BASED; NOISE ROBUSTNESS; NONNEGATIVE MATRIX FACTORIZATION; SPARSE CODING; VOICE CONVERSION;

SIGNAL PROCESSING; SPEECH COMMUNICATION; SPEECH RECOGNITION;

SPEECH PROCESSING;

EID: 84874248255     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SLT.2012.6424242     Document Type: Conference Paper

References (16)

1. Y. Iwami, T. Toda, H. Saruwatari, and K. Shikano, "GMM-based Voice Conversion Applied to Emotional Speech Synthesis," IEEE Trans. Seech and Audio Proc., Vol. 7, pp. 2401-2404, 1999.
2. C. Veaux and X. Robet, "Intonation conversion from neutral to expressive speech," in Proc. INTERSPEECH, pp. 2765-2768, 2011.
3. K. Nakamura, T. Toda, H. Saruwatari, and K. Shikano, "Speaking-aid systems using GMM-based voice conversion for electrolaryngeal speech," Speech Communication, Vol. 54, No. 1, pp. 134-146, 2012.
4. M. Abe, S. Nakamura, K. Shikano, and H. Kuwabara, "Vice conversion through vector quantization," in Proc. ICASSP, pp. 655-658, 1988.
5. H. Valbret, E. Moulines and J. P. Tubach, "Voice transformation using PSOLA technique," Speech Communication, Vol. 11, No. 2-3, pp. 175-187, 1992.
6. Y. Stylianou, O. Cappe, and E. Moulines, "Continuous probabilistic transform for voice conversion," IEEE Trans. Speech and Audio Processing, Vol. 6, No. 2, pp. 131-142, 1998.
7. 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.
8. E. Helander, T. Virtanen, J. Nurminen, and M. Gabbouj, "Voice conversion using partial least squares regression," IEEE Trans. Audo, Speech, Lang. Process., Vol. 18, No. 5, pp. 912-921, 2010.
9. C. H. Lee and C. H. Wu, "Map-based adaptation for speech conversion using adaptation data selection and non-parallel training," in Proc. INTERSPEECH, pp. 2254-2257, 2006.
10. T. Toda, Y. Ohtani, and K. Shikano, "Eigenvoice conversion based on Gaussian mixture model," in Proc. INTERSPEECH, pp. 2446-2449, 2006.
11. D. Saito, K. Yamamoto, N. Minematsu, and K. Hirose, "One-to-many voice conversion based on tensor representation of speaker space," in Proc. INTERSPEECH, pp. 653-656, 2011.
12. D. D. Lee and H. S. Seung, "Algorithms for nonnegative matrix factorization," in Proc. Neural Information Processing System, pp. 556-562, 2001.
13. T. Virtanen, "Monaural sound source separation by nonnegative matrix factorization with temporal continuity and sparseness criteria," IEEE Trans. Audio, Speech, Lang. Process., Vol. 15, No. 3, pp. 1066-1074, 2007.
14. M. N. Schmidt and R. K. Olsson, "Single-channel speech separation using sparse non-negative matrix factorization," in Proc. INTERSPEECH, pp. 2614-2617, 2006.
15. 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, Issue 7, pp. 2067-2080, 2011.
16. H. Kawahara, I. Masuda-Katsuse, and A.de Cheveigne, "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.