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This paper proposes a controllable end-to-end text-to-speech (TTS) system to control the speaking speed (speed-controllable TTS; SCTTS) of synthesized speech with sentence-level speaking-rate value as an additional input.
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R. Skerry-Ryan, E. Battenberg, Y. Xiao, Y. Wang, D. Stanton, J. Shor, R. Weiss, R. Clark, and R. Saurous, “Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron,” in
S. Watanabe, T. Hori, S. Karita, T. Hayashi, J. Nishitoba, Y. Unno, N. Enrique Yalta Soplin, J. Heymann, M. Wiesner, N. Chen, A. Renduchintala, and T. Ochiai, “ESPnet: End-to-End Speech Processing Toolkit,” in
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J. Park, K. Han, Y. Jeong, and S. W. Lee, “Phonemic-level Duration Control Using Attention Alignment for Natural Speech Synthesis,” in
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Y. Ren, Y. Ruan, X. Tan, T. Qin, S. Zhao, Z. Zhao, and T. Liu, “Fastspeech: Fast, robust and controllable text to speech,” in
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2018
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Y. Wang, D. Stanton, Y. Zhang, R. Skerry-Ryan, E. Battenberg, J. Shor, Y. Xiao, F. Ren, Y. Jia, and R. A. Saurous, “Style tokens: Unsupervised style modeling, control and transfer in end-to-end speech synthesis,” in
2018
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R. Prenger, R. Valle, and B. Catanzaro, “WaveGlow: A Flow-based Generative Network for Speech Synthesis,” in
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N. Li, S. Liu, Y. Liu, S. Zhao, and M. Liu, “Neural speech synthesis with transformer network,” in
2019
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