Individuality-preserving voice conversion for articulation disorders based on non-negative matrix factorization

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

Volumn , Issue , 2013, Pages 8037-8040

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

^a KOBE UNIVERSITY   (Japan)

Author keywords

Articulation Disorders; Assistive Technologies; NMF; Voice Conversion; Voice Reconstruction

Indexed keywords

ASSISTIVE TECHNOLOGY; CEREBRAL PALSY; EXEMPLAR-BASED; NMF; NONNEGATIVE MATRIX FACTORIZATION; SPECTRAL CONVERSION; TARGET SPEAKER; VOICE CONVERSION;

FACTORIZATION; LINGUISTICS; SIGNAL PROCESSING;

SPEECH PROCESSING;

EID: 84890519936     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2013.6639230     Document Type: Conference Paper

References (12)

1. S. T. Canale and W. C. Campbell, "Campbell's operative orthopaedics," Tech. Rep., Mosby-Year Book, 2002.
2. C. Veaux, J. Yamagishi, and S. King, "Using HMM-based speech synthesis to reconstruct the voice of individuals with degenerative speech disorders," Proc. Interspeech, 2012.
3. 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.
4. Y. Iwami, T. Toda, H. Saruwatari, and K. Shikano, "GMMbased voice conversion applied to emotional speech synthesis," IEEE Trans. Seech and Audio Proc., Vol. 7, pp. 2401-2404, 1999.
5. R. Aihara, R. Takashima, T. Takiguchi, and Y. Ariki, "GMMbased emotional voice conversion using spectrum and prosody features," American Journal of Signal Processing, Vol. 2 No. 5, 2012.
6. 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.
7. Y. Stylianou, O. Cappe, and E. Moilines, "Continuous probabilistic transform for voice conversion," IEEE Trans. Speech and Audio Processing, Vol. 6,No. 2, pp. 131-142, 1998.
8. D. D. Lee and H. S. Seung, "Algorithms for non-negative matrix factorization," in Proc. Neural Information Processing System, pp. 556-562, 2001.
9. 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.
10. J. F. Gemmeke and T. Virtanen, "Noise robust exemplar-based connected digit recognition," ICASSP, pp. 4546-4549, 2010.
11. M. N. Schmidt and R. K. Olsson, "Single-channel speech separation using sparse non-negative matrix factorization," INTERSPEECH, 2006.
12. H. Kawahara, I. Masuda-Katsuse, and A.de Cheveigne, "Restructuring speech representations using a pitch-adaptive timefrequency smoothing and an instantaneous-frequencybased F0 extraction: possible role of a repetitive structure in sounds," Speech Communication, Vol. 27, No. 3-4, 1999.