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The task of synthetic speech generation is to generate language content from a given text, then simulating fake human voice.The key factors that determine the effect of synthetic speech generation mainly include speed of generation, accuracy of word segmentation, naturalness of synthesized speech, etc.
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Z. Huang, W. Xu, K. Yu, Bidirectional lstm-crf models for sequence tagging, 2015. arXiv:1508.01991
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R. K. Srivastava, K. Greff, J. Schmidhuber, Highway networks, 2015. arXiv:1505.00387
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2015
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A study on data augmentation of reverberant speech for robust speech recognition,
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End-to-end anti-spoofing with rawnet2,
H. Tak, J. Patino, M. Todisco, A. Nautsch, N. Evans, A. Larcher, · 2021
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2021
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Towards end-to-end synthetic speech detection,
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Hlt-nus submission for 2020 nist conversational telephone speech sre,
R. K. Das, R. Tao, H. Li, · 2021
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2018
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Natural tts synthesis by conditioning wavenet on mel spectrogram predictions,
J. Shen, R. Pang, R. J. Weiss, M. Schuster, N. Jaitly, Z. Yang, Z. Chen, Y. Zhang, Y. Wang, R. Skerrv-Ryan, R. A. Saurous, Y. Agiomvrgiannakis, Y. Wu, · 2018
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2019
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2023
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