mlp-singer
hifi-gan
| mlp-singer | hifi-gan | |
|---|---|---|
| 2 | 5 | |
| 113 | 1,764 | |
| 0.0% | - | |
| 0.0 | 0.0 | |
| about 2 years ago | 10 months ago | |
| Python | Python | |
| MIT License | MIT License |
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mlp-singer
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Can you recommend any music created by AI and not by humans?
Check out Google Magenta, they have some pretty cool demos. Also checkout MLP Singer (disclaimer: I'm the first author), where we used a stack of multi-layer perceptrons to build an AI model that sings given lyrics text and a MIDI file. Hope this helps!
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MLP Singer: Towards Rapid Parallel Korean Singing Voice Synthesis
Paper: https://arxiv.org/abs/2106.07886 \ Demo: https://mlpsinger.github.io \ Code: https://github.com/neosapience/mlp-singer
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?
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)
WaveRNN - WaveRNN Vocoder + TTS
nnsvs - Neural network-based singing voice synthesis library for research
wavegrad - A fast, high-quality neural vocoder.
aeneas - aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)
Parallel-Tacotron2 - PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
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
so-vits-svc-fork - so-vits-svc fork with realtime support, improved interface and more features.