Semi-supervised training of a voice conversion mapping function using a joint-autoencoder

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Volumn 2015-January, Issue , 2015, Pages 284-288

  Mohammadi, Seyed Hamidreza ^a   Kain, Alexander ^a  

^a OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

Author keywords

Deep neural network; Pre training; Semisupervised learning; Voice conversion

Indexed keywords

BACKPROPAGATION; ENCODING (SYMBOLS); LEARNING SYSTEMS; MAPPING; NETWORK ARCHITECTURE; SPEECH COMMUNICATION; SPEECH RECOGNITION;

DEEP NEURAL NETWORKS; GENERAL STRUCTURES; PRE-TRAINING; SEMI- SUPERVISED LEARNING; SEMI-SUPERVISED TRAININGS; SPEAKER CONVERSION; SYSTEM CONFIGURATIONS; VOICE CONVERSION;

SPEECH PROCESSING;

EID: 84959173289     PISSN: 2308457X     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (29)

1. S. H. Mohammadi and A. Kain, "Transmutative voice conversion, " in Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on. IEEE, 2013, pp. 6920-6924.
2. D. Erro, A. Moreno, and A. Bonafonte, "Inca algorithm for training voice conversion systems from nonparallel corpora, " Audio, Speech, and Language Processing, IEEE Transactions on, vol. 18, no. 5, pp. 944-953, 2010.
3. S. Desai, A. W. Black, B. Yegnanarayana, and K. Prahallad, "Spectral mapping using artificial neural networks for voice conversion, " Audio, Speech, and Language Processing, IEEE Transactions on, vol. 18, no. 5, pp. 954-964, 2010.
4. E. Azarov, M. Vashkevich, D. Likhachov, and A. Petrovsky, "Real-time voice conversion using artificial neural networks with rectified linear units, " in INTERSPEECH, 2013, pp. 1032-1036.
5. L. J. Liu, L. H. Chen, Z. H. Ling, and L. R. Dai, "Using bidirectional associative memories for joint spectral envelope modeling in voice conversion, " in Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on. IEEE, 2014.
6. J. Nirmal, M. Zaveri, S. Patnaik, and P. Kachare, "Voice conversion using general regression neural network, " Applied Soft Computing, vol. 24, pp. 1-12, 2014.
7. L. H. Chen, Z. H. Ling, Y. Song, and L. R. Dai, "Joint spectral distribution modeling using restricted boltzmann machines for voice conversion, " in INTERSPEECH, 2013.
8. Z. Wu, E. S. Chng, and H. Li, "Conditional restricted boltzmann machine for voice conversion, " in Signal and Information Processing (ChinaSIP), 2013 IEEE China Summit & International Conference on. IEEE, 2013, pp. 104-108.
9. 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.
10. L.-H. Chen, Z.-H. Ling, L.-J. Liu, and L.-R. Dai, "Voice conversion using deep neural networks with layer-wise generative training, " IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), vol. 22, no. 12, pp. 1859-1872, 2014.
11. H. Duxans, A. Bonafonte, A. Kain, and J. Van Santen, "Including dynamic and phonetic information in voice conversion systems, " in Proc. of the ICSLP'04, 2004.
12. S. H. Mohammadi, A. Kain, and J. P. van Santen, "Making conversational vowels more clear. " in Interspeech, 2012.
13. T. Toda, 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 Journal, vol. 15, no. 8, pp. 2222-2235, November 2007.
14. F.-L. Xie, Y. Qian, Y. Fan, F. K. Soong, and H. Li, "Sequence error (se) minimization training of neural network for voice conversion, " in Proc. Interspeech, 2014.
15. T. Nakashika, T. Takiguchi, and Y. Ariki, "High-order sequence modeling using speaker-dependent recurrent temporal restricted boltzmann machines for voice conversion, " in Interspeech, 2014.
16. L. Sun, S. Kang, K. Li, and H. Meng, "Voice conversion using deep bidirectional long short-term memory bsed recurrent neural networks, " in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2015.
17. T. Nakashika, T. Takiguchi, and Y. Ariki, "Voice conversion using rnn pre-trained by recurrent temporal restricted boltzmann machines, " Audio, Speech, and Language Processing, IEEE/ACM Transactions on, vol. 23, no. 3, pp. 580-587, March 2015.
18. L.-H. Chen, Z.-H. Ling, and L.-R. Dai, "Voice conversion using generative trained deep neural networks with multiple frame spectral envelopes, " in Proc. Interspeech, 2014.
19. S. H. Mohammadi and A. Kain, "Voice conversion using deep neural networks with speaker-independent pretraining, " in Spoken Language Technology (SLT). IEEE, 2014.
20. K. Chen and A. Salman, "Learning speaker-specific characteristics with a deep neural architecture, " Neural Networks, IEEE Transactions on, vol. 22, no. 11, pp. 1744-1756, 2011.
21. M. Asgari, I. Shafran, and A. Bayestehtashk, "Inferring social contexts from audio recordings using deep neural networks, " in Machine Learning for Signal Processing (MLSP), 2014 IEEE International Workshop on. IEEE, 2014, pp. 1-6.
22. X. Glorot and Y. Bengio, "Understanding the difficulty of training deep feedforward neural networks, " in International conference on artificial intelligence and statistics, 2010, pp. 249-256.
23. P. Vincent, H. Larochelle, I. Lajoie, Y. Bengio, and P.-A. Manzagol, "Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion, " The Journal of Machine Learning Research, vol. 11, pp. 3371-3408, 2010.
24. T. Toda, A. W. Black, and K. Tokuda, "Voice conversion based on maximum-likelihood estimation of spectral parameter trajectory, " Audio, Speech, and Language Processing, IEEE Transactions on, vol. 15, no. 8, pp. 2222-2235, 2007.
25. A. R. Mohamed, G. E. Dahl, and G. Hinton, "Acoustic modeling using deep belief networks, " Audio, Speech, and Language Processing, IEEE Transactions on, vol. 20, no. 1, pp. 14-22, 2012.
26. A. Kain and M. Macon, "Spectral voice conversion for text-to-speech synthesis, " in Proceedings of ICASSP, vol. 1, May 1998, pp. 285-299.
27. D. A. Reynolds and R. C. Rose, "Robust test-independent speaker identification using Gaussian mixture models, " IEEE Transactions on Speech and Audio Processing, vol. 3, pp. 72-83, 1995.
28. A. Kain, "High Resolution Voice Transformation, " Ph. D. dissertation, OGI School of Science & Engineering at Oregon Health & Science University, 2001.
29. H. B. Mann and D. R. Whitney, "On a test of whether one of two random variables is stochastically larger than the other, " The annals of mathematical statistics, pp. 50-60, 1947.