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Title: GitHub - lmnt-com/diffwave: DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.

Open Graph Title: GitHub - lmnt-com/diffwave: DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.

X Title: GitHub - lmnt-com/diffwave: DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.

Description: DiffWave is a fast, high-quality neural vocoder and waveform synthesizer. - lmnt-com/diffwave

Open Graph Description: DiffWave is a fast, high-quality neural vocoder and waveform synthesizer. - lmnt-com/diffwave

X Description: DiffWave is a fast, high-quality neural vocoder and waveform synthesizer. - lmnt-com/diffwave

Opengraph URL: https://github.com/lmnt-com/diffwave

X: @github

direct link

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GitHub CopilotWrite better code with AIhttps://github.com/features/copilot
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https://github.com/lmnt-com/diffwave/blob/master/LICENSE
come join us at LMNThttps://explore.lmnt.com
DiffWave: A Versatile Diffusion Model for Audio Synthesishttps://arxiv.org/pdf/2009.09761.pdf
https://github.com/lmnt-com/diffwave#whats-new-2021-11-09
Andrechanghttps://github.com/Andrechang
https://github.com/lmnt-com/diffwave#whats-new-2021-04-01
https://github.com/lmnt-com/diffwave#whats-new-2020-10-14
https://github.com/lmnt-com/diffwave#status-2021-11-09
Zhifeng Konghttps://github.com/FengNiMa
https://github.com/lmnt-com/diffwave#audio-samples
22.05 kHz audio sampleshttps://lmnt.com/assets/diffwave
https://github.com/lmnt-com/diffwave#pretrained-models
22.05 kHz pretrained modelhttps://lmnt.com/assets/diffwave/diffwave-ljspeech-22kHz-1000578.pt
https://github.com/lmnt-com/diffwave#pre-trained-model-details
https://github.com/lmnt-com/diffwave#install
https://github.com/lmnt-com/diffwave#training
LJSpeechhttps://keithito.com/LJ-Speech-Dataset/
VCTKhttps://pytorch.org/audio/_modules/torchaudio/datasets/vctk.html
params.pyhttps://github.com/lmnt-com/diffwave/blob/master/src/diffwave/params.py
https://github.com/lmnt-com/diffwave#multi-gpu-training
torch.cuda.device_count()https://pytorch.org/docs/stable/cuda.html#torch.cuda.device_count
CUDA_DEVICES_AVAILABLEhttps://developer.nvidia.com/blog/cuda-pro-tip-control-gpu-visibility-cuda_visible_devices/
https://github.com/lmnt-com/diffwave#inference-api
https://github.com/lmnt-com/diffwave#inference-cli
https://github.com/lmnt-com/diffwave#references
DiffWave: A Versatile Diffusion Model for Audio Synthesishttps://arxiv.org/pdf/2009.09761.pdf
Denoising Diffusion Probabilistic Modelshttps://arxiv.org/pdf/2006.11239.pdf
Code for Denoising Diffusion Probabilistic Modelshttps://github.com/hojonathanho/diffusion
machine-learning https://github.com/topics/machine-learning
text-to-speech https://github.com/topics/text-to-speech
deep-learning https://github.com/topics/deep-learning
neural-network https://github.com/topics/neural-network
paper https://github.com/topics/paper
speech https://github.com/topics/speech
pytorch https://github.com/topics/pytorch
tts https://github.com/topics/tts
speech-synthesis https://github.com/topics/speech-synthesis
pretrained-models https://github.com/topics/pretrained-models
vocoder https://github.com/topics/vocoder
diffwave https://github.com/topics/diffwave
Readme https://github.com/lmnt-com/diffwave#readme-ov-file
Apache-2.0 license https://github.com/lmnt-com/diffwave#Apache-2.0-1-ov-file
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