taalua/FastSpeech2

Multi-Speaker Pytorch FastSpeech2: Fast and High-Quality End-to-End Text to Speech :fist:

Multi-speaker FastSpeech 2 - PyTorch Implementation ⚡

• This is a PyTorch implementation of Microsoft's FastSpeech 2: Fast and High-Quality End-to-End Text to Speech.

• Now supporting about 900 speakers in 🔥 LibriTTS for multi-speaker text-to-speech.

Datasets 🐘

This project supports 2 muti-speaker datasets:

🔥 Single-Speaker

• LJSpeech

🔥 Multi-Speaker

• LibriTTS

• VCTK

References 📔

• FastSpeech 2: Fast and High-Quality End-to-End Text to Speech, Y. Ren, et al.
• FastSpeech: Fast, Robust and Controllable Text to Speech, Y. Ren, et al.
• xcmyz's FastSpeech implementation
• rishikksh20's FastSpeech2 implementation
• TensorSpeech's FastSpeech2 implementation
• NVIDIA's WaveGlow implementation
• seungwonpark's MelGAN implementation