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This paper proposes an effective probability density distillation (PDD) algorithm for WaveNet-based parallel waveform generation (PWG) systems.
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E. Song, F. K. Soong, and H.-G. Kang, “Effective spectral and excitation modeling techniques for LSTM-RNN-based speech synthesis systems,”
2017
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S. Yang, L. Xie, X. Chen, X. Lou, X. Zhu, D. Huang, and H. Li, “Statistical parametric speech synthesis using generative adversarial networks under a multi-task learning framework,” in
2017
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T. Kaneko, S. Takaki, H. Kameoka, and J. Yamagishi, “Generative adversarial network-based postfilter for STFT spectrograms,” in
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A. van den Oord, Y. Li, I. Babuschkin, K. Simonyan, O. Vinyals, K. Kavukcuoglu, G. van den Driessche, E. Lockhart, L. C. Cobo, F. Stimberg, N. Casagrande, D. Grewe, S. Noury, S. Dieleman, E. Elsen, N. Kalchbrenner, H. Zen, A. Graves, H. King, T. Walters, D. Belov, and D. Hassabis, “Parallel WaveNet: Fast high-fidelity speech synthesis,” in
2018
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Y. Zhao, S. Takaki, H.-T. Luong, J. Yamagishi, D. Saito, and N. Minematsu, “Wasserstein GAN and waveform loss-based acoustic model training for multi-speaker text-to-speech synthesis systems using a WaveNet vocoder,”
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J. Y. Lee, S. J. Cheon, B. J. Choi, N. S. Kim, and E. Song, “Acoustic modeling using adversarially trained variational recurrent neural network for speech synthesis,” in
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B. Bollepalli, L. Juvela, and P. Alku, “Generative adversarial network-based glottal waveform model for statistical parametric speech synthesis,” in
2017
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X. Mao, Q. Li, H. Xie, R. Y. Lau, Z. Wang, and S. Paul Smolley, “Least squares generative adversarial networks,” in
2017
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S. Pascual, A. Bonafonte, and J. Serrà, “SEGAN: Speech enhancement generative adversarial network,” in
2017
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X. Wang, J. Lorenzo-Trueba, S. Takaki, L. Juvela, and J. Yamagishi, “A comparison of recent waveform generation and acoustic modeling methods for neural-network-based speech synthesis,” in
2018
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W. Ping, K. Peng, A. Gibiansky, S. O. Arik, A. Kannan, S. Narang, J. Raiman, and J. Miller, “Deep voice 3: 2000-speaker neural text-to-speech,” in
2018
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J. Shen, R. Pang, R. J. Weiss, M. Schuster, N. Jaitly, Z. Yang, Z. Chen, Y. Zhang, Y. Wang, R. Skerrv-Ryan
2018
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2018
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H. Kim, M. Kim, D. Seo, J. Kim, H. Park, S. Park, H. Jo, K. Kim, Y. Yang, Y. Kim
2018
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E. Song, K. Byun, and H.-G. Kang, “Excitnet vocoder: A neural excitation model for parametric speech synthesis systems,” in
2019
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2019
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W. Ping, K. Peng, and J. Chen, “ClariNet: Parallel wave generation in end-to-end text-to-speech,” in
2019
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L. Juvela, B. Bollepalli, J. Yamagishi, and P. Alku, “Waveform generation for text-to-speech synthesis using pitch-synchronous multi-scale generative adversarial networks,” in
2019
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S. Ö. Arık, H. Jun, and G. Diamos, “Fast spectrogram inversion using multi-head convolutional neural networks,”
2019
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