Training GST-Tacotron for Persian language as a multi-speaker Persian speech synthesis.
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Updated
Jan 10, 2022 - Python
Training GST-Tacotron for Persian language as a multi-speaker Persian speech synthesis.
Implementation of Transfer Learning from Speaker Verification to Multi-speaker Text-To-Speech Synthesis (SV2TTS) in Persian language.
Custom-Speech-Synthesis-Service-using-Multi-speaker-tacotron
This is the experimental description of MnTTS2.
TTS for Arabic (FastPitch) in the ONNX format
pytorch implementation for MultiSpeech: Multi-Speaker Text to Speech with Transformer paper
SC-CNN: Effective Speaker Conditioning Method for Zero-Shot Multi-Speaker Text-to-Speech Systems
TTS models for Arabic (Tacotron2, FastPitch)
Multi-Speaker Pytorch FastSpeech2: Fast and High-Quality End-to-End Text to Speech ✊
PyTorch Implementation of DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs
PAddle PARAllel text-to-speech toolKIT (supporting Tacotron2, Transformer TTS, FastSpeech2/FastPitch, SpeedySpeech, WaveFlow and Parallel WaveGAN)
😝 TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
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