hifi-gan
Parallel-Tacotron2
| hifi-gan | Parallel-Tacotron2 | |
|---|---|---|
| 5 | 1 | |
| 1,764 | 184 | |
| - | - | |
| 0.0 | 0.0 | |
| 9 months ago | over 2 years ago | |
| Python | Python | |
| MIT License | MIT License |
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hifi-gan
- [D] What is the best open source text to speech model?
- I made Lisa-nee TTS (Imai Lisa)
- HiFi-GAN: Generative Adversarial Networks for Efficient and Hi-Fi Speech Synth
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[2108.13320] Neural HMMs are all you need (for high-quality attention-free TTS)
It will be interesting to see if the artefacts you noticed persist once we've trained the model for longer and switch to a better vocoder such as HiFi-GAN. (The paper and audio examples use WaveGlow since that's the default of the repository we compared ourselves to.) That said, "choppiness" sounds to me like it might be related to the temporal evolution, in which case it's something that a non-causal, convolutional post-net might be able to smooth over.
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The dangers of AI
Hey, as far as I know this paper is the current SoTA on public data that is open source. Github is here. If you are interested in really getting into speech synthesis, this page has everything (modern stuff on the bottom.)
Parallel-Tacotron2
What are some alternatives?
WaveRNN - WaveRNN Vocoder + TTS
FastSpeech2 - An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"
wavegrad - A fast, high-quality neural vocoder.
how-do-vits-work - (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
diffwave - DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
marytts - MARY TTS -- an open-source, multilingual text-to-speech synthesis system written in pure java
TensorFlowTTS - :stuck_out_tongue_closed_eyes: 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)
vits - VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
mlp-singer - Official implementation of MLP Singer: Towards Rapid Parallel Korean Singing Voice Synthesis (IEEE MLSP 2021)