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Recent state-of-the-art neural text-to-speech (TTS) synthesis models have dramatically improved intelligibility and naturalness of generated speech from text.
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2016
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2016
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2019
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2017
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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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N. Li, S. Liu, Y. Liu, S. Zhao, M. Liu, and M. Zhou, “Close to human quality TTS with transformer,”
2018
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Y. Taigman, L. Wolf, A. Polyak, and E. Nachmani, “VoiceLoop: Voice fitting and synthesis via a phonological loop,” in
2018
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2019
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2019
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2019
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M. Ravanelli, T. Parcollet, and Y. Bengio, “The PyTorch-Kaldi speech recognition toolkit,”
2019
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J. Valin and J. Skoglund, “LPCNet: improving neural speech synthesis through linear prediction,” in
2019
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