tacotron
hifi-gan
| tacotron | hifi-gan | |
|---|---|---|
| 3 | 5 | |
| 2,927 | 1,764 | |
| - | - | |
| 0.0 | 0.0 | |
| 10 months ago | 9 months ago | |
| Python | Python | |
| MIT License | MIT License |
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tacotron
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[D] What is the best open source text to speech model?
Tacotron submitted: Mar 29, 2017 paper: https://arxiv.org/pdf/1703.10135.pdf github: https://github.com/keithito/tacotron (Not the official implementation but is the once cited the most)
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Free/cheap text to speech voice for public sharing?
Mozilla TTS Tacotron
- TTS: Text-to-Speech for All
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.)
What are some alternatives?
flowtron - Flowtron is an auto-regressive flow-based generative network for text to speech synthesis with control over speech variation and style transfer
WaveRNN - WaveRNN Vocoder + TTS
mimic2 - Text to Speech engine based on the Tacotron architecture, initially implemented by Keith Ito.
wavegrad - A fast, high-quality neural vocoder.
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
Parallel-Tacotron2 - PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
diffwave - DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.
FastSpeech2 - An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"
TTS - :robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
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)