Voice conversion using conditional restricted Boltzmann machine

2014 IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Proceedings

Volumn , Issue , 2014, Pages 110-114

  Zhu, Fengyun ^a   Fan, Ziye ^a   Wu, Xihong ^a  

^a PEKING UNIVERSITY   (China)

Author keywords

Conditional restricted Boltzmann machine; Voice conversion

Indexed keywords

CONDITIONAL RESTRICTED BOLTZMANN MACHINES; CONVENTIONAL METHODS; GAUSSIAN MIXTURE MODEL; JOINT DISTRIBUTIONS; SUBJECTIVE EXPERIMENTS; TEMPORAL CONSTRAINTS; TEMPORAL STRUCTURES; VOICE CONVERSION;

EID: 84929415540     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ChinaSIP.2014.6889212     Document Type: Conference Paper

References (16)

1. M. Abe, S. Nakamura, K. Shikano, and H. Kuwabara, "Voice conversion through vector quantization, " in IC ASSP, 1988, vol. 1, pp. 655-658.
2. H. Valbret,E. Moulines,J. P. Tubach Voice transformation using PSOLA technique Speech Communication 11, 2-3, 175-187 June, 1992.
3. Y. Stylianou, O. Cappe, and E. Moulines, "Continuous probabilistic transform for voice conversion, " IEEE Transactions on Speech and Audio Processing, vol. 6, pp. 131-142, 1998.
4. A. Kain and M. W. Macon, "Spectral voice conversion for text-to-speech synthesis," in ICASSP, 1998, vol. 1, pp. 285-288.
5. M. Narendranath, H. A. Murthy, S. Rajendran, and B. Yegnanarayana, " Transformation of formants for voice conversion using artificial neural networks," Speech Communication, vol. 16, no. 2, pp. 207-216, Feb. 1995.
6. T. T oda, A. W. Black, and K. Tokuda, " Voice conversion based on maximum-likelihood estimation of spectral parameter trajectory," IEEE Transactions on Audio, Speech, and Language Processing, vol. 15, no. 8, pp. 2222-2235, 2007.
7. T. Nakashika, R. Takashima, T. Takiguchi, and Y. Ariki, " Voice conversion in high-order eigen space using deep belief nets," in INTERSPEECH, 2013, pp. 369-372.
8. L. Chen, Z. Ling, and L. Dai, " Joint spectral distribution modeling using restricted Boltzmann machines for voice conversion," in INTERSPEECH, 2013, pp. 3052-3056.
9. Z. Wu, E. S. Chng, and H. Li, "Conditional restricted Boltzmann machine for voice conversion, " in 2013 IEEE China Summit International Conference on Signal and Information Processing (ChinaSIP), 2013, pp. 104-108.
10. G. W. Taylor, G. E. Hinton, and S. Roweis, "Modeling human motion using binary latent variables, " in Advances in Neural Information Processing Systems. 2007, MIT Press.
11. G. W. Taylo r, L. Sigal, D. J. Fleet, and G. E. Hinton, " Dynamical binary latent variable models for 3D human pose tracking," in 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010, pp. 631-638.
12. A. Mohamed and G. E. Hinton, "Phone recognition using restricted Boltzmann machines, " in ICASSP, 2010, pp. 4354-4357.
13. G. E. Hinton, "Training products of experts by minimizi ng contrastive divergence," Neural Computation, vol. 14, no. 8, pp. 1771-1800, Aug. 2002.
14. J. Kominek and A. W. Black, "The CMU ARCTIC speech databases, " in Fifth ISCA Workshop on Spee ch Synthesis, 2004.
15. H. Kawahara, I. Masuda-Katsuse, and A. de Cheveigné, " Restructuring speech representations using a pitch-Adaptive timecfrequency smoothing and an instantaneous-frequency-based f0 extraction: Possible role of a repetitive structure in sounds, " Speech Communication, vol. 27, no. 3-4, pp. 187-207, Apr. 1999.
16. A. Black and K. Lenzo, "Festvox: Building synthetic voices, " Language Technologies Institute, Carnegie Mellon University, PA, USA, Tech. Rep, 2002.