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This study probes the phonetic and phonological knowledge of lexical tones in TTS models through two experiments.
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1990
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1997
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C. Shih, “Mandarin third tone sandhi and prosodic structure,”
1997
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Y. Chen and Y. Xu, “Production of weak elements in speech–evidence from f0 patterns of neutral tone in standard chinese,”
2006
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Y.-F. Chien, J. A. Sereno, and J. Zhang, “Priming the representation of mandarin tone 3 sandhi words,”
2016
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A. Rosenberg and B. Ramabhadran, “Bias and statistical significance in evaluating speech synthesis with mean opinion scores.” in
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
Cited alongside, same era.
2018
Cited alongside, same era.
2018
Cited alongside, same era.
2018
Cited alongside, same era.
G. Prasad, M. van Schijndel, and T. Linzen, “Using priming to uncover the organization of syntactic representations in neural language models,” in
2019
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T. Linzen, “What can linguistics and deep learning contribute to each other? response to pater,”
2019
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B. Li, J. Y. Xie, and F. Rudzicz, “Representation learning for discovering phonemic tone contours,”
2019
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2019
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T. Hayashi, S. Watanabe, T. Toda, K. Takeda, S. Toshniwal, and K. Livescu, “Pre-trained text embeddings for enhanced text-to-speech synthesis,”
2019
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2018
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D. P. Kingma and P. Dhariwal, “Glow: Generative flow with invertible 1x1 convolutions,” in
2018
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Y. Jadoul, B. Thompson, and B. De Boer, “Introducing parselmouth: A python interface to praat,”
2018
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2019
Cited alongside, same era.
R. Prenger, R. Valle, and B. Catanzaro, “Waveglow: A flow-based generative network for speech synthesis,” in
2019
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2019
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2019
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2019
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