A voice conversion algorithm in the context of sparse training data

Nanjing Youdian Daxue Xuebao (Ziran Kexue Ban)/Journal of Nanjing University of Posts and Telecommunications (Natural Science)

Volumn 30, Issue 5, 2010, Pages 1-7

  Xu, Ning ^a   Yang, Zhen ^b  

^a Nanjing University of Posts and Telecommunications   (China)

^b NANJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Gaussian mixture model; Sparse data; Spectral mapping; Variational Bayesian; Voice conversion

Indexed keywords

EID: 78650194302     PISSN: 16735439     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (11)

1. KUWABARA H, SAGISAKA Y. Acoustic characteristics of speaker individuality: control and conversion[J]. Speech Communication, 1995, 16(2): 165-173.
2. ABE M, NAKAMURA S, SHIKANO K, et al. Voice conversion through vector quantization[C]//IEEE International Conference on Acoustics, Speech and Signal Processing. Piscataway: IEEE, 1988: 655-658.
3. VALBRET H, MOULINES E, TUBACH J P. Voice transformation using PSOLA technique[J]. Speech Communication, 1992, 1(1): 145-148.
4. NARENDRANATH M, MURTHY H A, RAJENDRAN S, et al. Transformation of formants for voice conversion using artificial neural networks[J]. Speech Communication, 1995, 16(5): 207-216.
5. STYLIANOU Y, CAPPE O, MOULINES E. Continuous probabilistic transform for voice conversion[J]. IEEE Transactions on Speech and Audio Processing, 1998, 6(2): 131-142.
6. KAIN A. High resolution voice transformation[D]. PhD Thesis of OGI School of Science and Engineering, 2001.
7. TODA T, SARUWATARI H, SHIKANO K. Voice conversion algorithm based on Gaussian Mixture Model with dynamic frequency warping of STRAIGHT spectrum[C]//ICSSAP. Piscataway: IEEE, 2001: 841-844.
8. JIAN Zhihua, YANG Zhen. Voice conversion using canonical correlation analysis based on Gaussian Mixture Model[C]//IEEE 8th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing. Piscataway: IEEE, 2006: 210-215.
9. JIAN Zhihua, YANG Zhen. Voice conversion using Viterbi algorithm based on Gaussian mixture model[C]//IEEE International Symposium on Intelligent Signal Processing and Communication Systems. Piscataway: IEEE, 2007: 764-767.
10. ATTIAS H. A variational bayesian framework for graphical models[C]//Advances in Neural Information Processing Systems. Cambridge: MIT Press, 2000: 1-8.
11. STYLIANOU Y. Harmonic plus noise models for speech, combined with statistical methods, for speech and speaker modification[D]. PhD Thesis of École Nationale Supérieure des Télécommunications, 1996.