voice100
WaveRNN
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| voice100 | WaveRNN | |
|---|---|---|
| 1 | 5 | |
| 25 | 2,086 | |
| - | - | |
| 4.9 | 0.0 | |
| 5 months ago | almost 2 years ago | |
| Python | Python | |
| MIT License | MIT License |
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voice100
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Voice-cloning library for conlangs?
If you would like to use your romanization, yes, first you have to have some way to perform grapheme-to-phoneme transcription. I dug for a bit and found something that looks pretty basic, where you can easily write your own phonemizer: https://github.com/kaiidams/voice100. Not sure how good this model is, as it's made to be working on small devices, but you may play with it.
WaveRNN
- Ich werde bald, vorrausichtlich noch dieses Jahr, stumm werden. Was nun?
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Eminem Disses Forsen
I've posted before, but its this open source https://github.com/fatchord/WaveRNN with a very basic gui and a connection to the streamlabs socket api which sends out json of the dono. The actual app forsen has is probably a day of work.
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Johnny Silverhand TTS. Some classic lines
Its not enough. You need at least 8GB VRAM for GPU training. My specs are 3700x + 2080s, CPU training is <1step/sec and GPU is up to 5steps/sec. Even with this GPU I have "out of memory" erros sometimes (hint: if someone else wants to try wavernn check my pull request to reduce gpu memory usage). You can use online services to train your data like Google Colab but it might be too expensive for you.
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Weekly Noobquestions Thread December 29 2020
I may have found an a program that works. Its the same algorithm that the streamer forsen uses for his TTS, and it can emulate his own voice(which has a swedish accent) or voices of other notable people with accents. It appears like it has the ability to give it your own data set so I'll see if I can get it to work. For anyone finding the post this is the link: https://github.com/fatchord/WaveRNN
What are some alternatives?
FastSpeech2 - An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"
hifi-gan - HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
Parallel-Tacotron2 - PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
flowtron - Flowtron is an auto-regressive flow-based generative network for text to speech synthesis with control over speech variation and style transfer
wavegrad - A fast, high-quality neural vocoder.
diffwave - DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.
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)
tts-tortoise-gradio - A Gradio setup for Tortoise TTS.
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production