Voice conversion using artificial neural networks

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

Volumn , Issue , 2009, Pages 3893-3896

  Desai, Srinivas ^a   Raghavendra, E Veera ^a   Yegnanarayana, B ^a   Black, Alan W ^b   Prahallad, Kishore ^a,b  

^a INTERNATIONAL INSTITUTE OF INFORMATION TECHNOLOGY   (India)

^b Carnegie Mellon University   (United States)

Author keywords

Artificial neural networks; Gaussian mixture model; Voice conversion

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; COMPARATIVE STUDIES; GAUSSIAN MIXTURE MODEL; OBJECTIVE MEASURE; SPECTRAL FEATURE; TARGET SPEAKER; VOICE CONVERSION;

ACOUSTICS; BACKPROPAGATION; COMMUNICATION CHANNELS (INFORMATION THEORY); MIXTURES; PHOTOMAPPING; SIGNAL PROCESSING; SPEECH PROCESSING;

NEURAL NETWORKS;

EID: 70349197691     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2009.4960478     Document Type: Conference Paper

References (16)

1. M. Abe, S. Nakamura, K. Shikano, and H. Kuwabara, "Voice conversion through vector quantization," International Conference on Acoustics, Speech and Signal Processing, vol. 1, 1988.
2. H. Valbret, E. Moulines, and J. P. Tubach, "Voice transformation using psola technique," International Conference on Acoustics, Speech and Signal Processing, vol. 1, 1992.
3. A. Kain and M. W. Macon, "Design and evaluation of a voice conversion algorithm based on spectral envelop mapping and residual prediction," International Conference on Acoustics, Speech and Signal Processing, vol. 2, pp. 813-816, 2001.
4. T. Watanabe, T. Murakami, M. Namba, T. Hoya, and Y. Ishida, "Transformation of spectral envelope for voice conversion based on radial basis function networks," International Conference on Spoken Language Processing, vol. 1, 2002.
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, pp. 207-216, Feb. 1995.
6. Yannis Stylianou, Olivier Cappe, and Eric Moulines, "Statistical methods for voice quality transformation," Eurospeech, pp. 447-450, Sept. 1995.
7. Arthur R. Toth and Alan W Black, "Using articulatory position data in voice transformation," Workshop on Speech Synthesis, pp. 182-187, 2007.
8. Tomoki Toda, Alan W Black, and Keiichi Tokuda, "Acousticto- articulatory inversion mapping with gaussian mixture model," ICSLP, 2004.
9. Tomoki Toda, Alan W Black, and Keiichi Tokuda, "Mapping from articulatory movements to vocal tract spectrum with gaussian mixture model for articulatory speech synthesis," in in 5th ISCA Speech Synthesis Workshop, 2004, pp. 31-36.
10. K. Tokuda, T. Yoshimura, T. Masuko, T. Kobayashi, and T. Kitamura, "Speech parameter generation algorithms for HMM based speech synthesis," International Conference on Acoustics, Speech and Signal Processing, 2000.
11. Guoyu Zuo, Wenju Liu, and Xiaogang Ruan, "Genetic algorithm based RBF neural network for voice conversion," World congress on intelligent control and automation, 2004.
12. J. Kominek and A. Black, "The CMU ARCTIC speech databases," 5th ISCA Speech Synthesis Workshop, pp. 223-224, 2004.
13. S. Imai, "Cepstral analysis/synthesis on the mel frquency scale," International Conference on Acoustics, Speech and Signal Processing, 1983.
14. K. Liu, J. Zhang, and Y. Yan, "High quality voice conversion through phoneme based linear mapping functions with straight for mandarin," Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007.
15. B. Yegnanarayana, "Artificial neural networks," Prentice Hall of India, 2004.
16. T. Toda, A. W. Black, and K. Tokuda, "Spectral conversion based on maximum likelihood estimation considering global variance of converted parameter," International Conference on Acoustics, Speech and Signal Processing, vol. 1, 2005.