flowtron
WaveRNN
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| flowtron | WaveRNN | |
|---|---|---|
| 6 | 5 | |
| 881 | 2,086 | |
| 0.7% | - | |
| 0.0 | 0.0 | |
| 10 months ago | almost 2 years ago | |
| Jupyter Notebook | Python | |
| Apache License 2.0 | MIT License |
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flowtron
- [D] What is the best open source text to speech model?
- A thought: we need language and voice synthesis models as free as Stable Diffusion
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Ask HN: Best FOSS software to read text allowed
If you want free (as open source) software, the NVIDIA research GitHub also has some good tools. For example : https://github.com/NVIDIA/flowtron
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Visas Marr on the tragedy of Darth Plagueis
Voice in this video was synthesized using a Flowtron trained on Visas' speech patterns.(https://github.com/NVIDIA/flowtron)
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Bastila Shan reads the Sith and Jedi Codes
The voicelines in this video was created using a Flowtron Text-to-Speech (TTS) model trained on Bastila's voice patterns to read the Sith and Jedi Codes. For more information: https://github.com/NVIDIA/flowtron I created a small tutorial for how to use it on Google Colab: https://www.youtube.com/watch?v=1Bmg1c5U5Bg
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I created a Text-to-Speech model based on Bastila's voice patterns.
For more information on Flowtron: https://github.com/NVIDIA/flowtron/
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?
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)
hifi-gan - HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
tacotron - A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)
Parallel-Tacotron2 - PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
espnet - End-to-End Speech Processing Toolkit
diffwave - DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.
espeak-ng - eSpeak NG is an open source speech synthesizer that supports more than hundred languages and accents.
wavegrad - A fast, high-quality neural vocoder.
NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
vall-e - An unofficial PyTorch implementation of the audio LM VALL-E