mlp-singer
WaveRNN
mlp-singer | WaveRNN | |
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2 | 5 | |
113 | 2,086 | |
0.0% | - | |
0.0 | 0.0 | |
about 2 years ago | almost 2 years 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
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?
hifi-gan - HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
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)
Parallel-Tacotron2 - PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
nnsvs - Neural network-based singing voice synthesis library for research
flowtron - Flowtron is an auto-regressive flow-based generative network for text to speech synthesis with control over speech variation and style transfer
aeneas - aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)
diffwave - DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.
wavegrad - A fast, high-quality neural vocoder.
TTS - πΈπ¬ - 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