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Speech Synthesis Method Based on Tacotron + WaveNet

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Communications, Signal Processing, and Systems (CSPS 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 571))

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Abstract

In view of the Tacotron Griffin-Lim algorithm in speech synthesis system recovery phase information of the obvious effect of the synthetic speech artificial processing, low protect boomed, this paper proposes a speech synthesis method based on Tacotron + WaveNet network architecture, the method is based on the sequence mapping Seq2Seq structure, first of all, the input text into one—hot vector, and introduces attention mechanism for MEL spectrograms, finally using WaveNet vocoder back-end processing network reconstruct the phase information of speech signal, so as to convert the input text into waveform. The test language of the experiment was LJ-Speech, and the experiment was conducted for English language. The experimental results showed that the average subjective opinion score MOS was 4.23, which was higher than Tacotron end-to-end speech synthesis method in terms of synthesis naturalness.

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References

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Author information

Authors and Affiliations

  1. College of Electronic Engineering, Heilongjiang University, Harbin, 150080, China

    Yingnan Liu & Yingli Wang

  2. The Hong Kong Polytechnic University, No.11 Yucai Road, Hong Kong, People’s Republic of China

    Qitao Ma

Authors
  1. Yingnan Liu
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  2. Qitao Ma
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  3. Yingli Wang
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Corresponding author

Correspondence to Yingli Wang .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  3. School of Information and Communication Engineering, Dalian University of Technology, Dalian, Liaoning, China

    Xin Liu

  4. School of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning, China

    Zhenyu Na

  5. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China

    Min Jia

  6. College of Physical and Electronic Information, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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© 2020 Springer Nature Singapore Pte Ltd.

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Liu, Y., Ma, Q., Wang, Y. (2020). Speech Synthesis Method Based on Tacotron + WaveNet. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_78

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  • DOI: https://doi.org/10.1007/978-981-13-9409-6_78

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9408-9

  • Online ISBN: 978-981-13-9409-6

  • eBook Packages: EngineeringEngineering (R0)

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