2019

High quality, lightweight and adaptable TTS using LPCNet

Kons, Zvi, Shechtman, Slava, Sorin, Alex et al.

Understand

We present a lightweight adaptable neural TTS system with high quality output.

  • The system is composed of three separate neural network blocks: prosody prediction, acoustic feature prediction and Linear Prediction Coding Net as a neural vocoder.
  • This system can synthesize speech with close to natural quality while running 3 times faster than real-time on a standard CPU.
  • The modular setup of the system allows for simple adaptation to new voices with a small amount of data.

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