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Bigvgan Base 22khz 80band

[[Paper]]( - [[Code]]( - [[Showcase]]( - [[Project Page]]( - [[Weights]]( - [[Demo]](

TipoOtherVersãoRevision 760f0c6

Fonte do modelo

Tipo
Other
Tamanho do arquivo
53,4–581 MB
Versão
vRevision 760f0c6
Atualizado
19 de set. de 2026
Downloads
319
Tarefas
Áudio
Fonte
Hugging Face

Trecho da fonte

[[Paper]]( - [[Code]]( - [[Showcase]]( - [[Project Page]]( - [[Weights]]( - [[Demo]](

Fontes

1 fonte
Hugging FacePrimárioVersão 760f0c694aba68b8c200dd52ffd3b4ecafa7028c
huggingface.co/nvidia/bigvgan_base_22khz_80band/tree/760f0c694aba68b8c200dd52ffd3b4ecafa7028c

Verificado 19 de set.

Artefatos de modelo

2 artefatos

bigvgan_discriminator_optimizer.pt

pt · 581 MB · SHA-256 3c5162d7ac7a…9428 · Hugging Face

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bigvgan_generator.pt

pt · 53,4 MB · SHA-256 e2a93f92971e…7735 · Hugging Face

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Trechos de fonte

2 trechos

--- license: mit license_link: https://huggingface.co/nvidia/BigVGAN/blob/main/LICENSE tags: - neural-vocoder - audio-generation library_name: PyTorch pipeline_tag: audio-to-audio --- ## BigVGAN: A Universal Neural Vocoder with Large-Scale Training #### Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon [[Paper]](https://arxiv.org/abs/2206.04658) - [[Code]](https://github.com/NVIDIA/BigVGAN) - [[Showcase]](https://bigvgan-demo.github.io/) - [[Project Page]](https://research.nvidia.com/labs/adlr/projects/bigvgan/) - [[Weights]](https://huggingface.co/collections/nvidia/bigvgan-66959df3d97fd7d98d97dc9a) - [[Demo]](https://huggingface.co/spaces/nvidia/BigVGAN) [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/bigvgan-a-universal-neural-vocoder-with-large/speech-synthesis-on-libritts)](https://paperswithcode.com/sota/speech-synthesis-on-libritts?p=bigvgan-a-universal-neural-vocoder-with-large) <center><img src="https://user-images.githubusercontent.com/15963413/218609148-881e39df-33af-4af9-ab95-1427c4ebf062.png" width="800"></center> ## News - **Jul 2024 (v2.3):** - General refactor and code improvements for improved readability. - Fully fused CUDA kernel of anti-alised activation (upsampling + activation + downsampling) with inference speed benchmark. - **Jul 2024 (v2.2):** The repository now includes an interactive local demo using gradio. - **Jul 2024 (v2.1):** BigVGAN is now integrated with 🤗 Hugging Face Hub with easy access to inference using pretrained checkpoints. We also provide an interactive demo on Hugging Face Spaces. - **Jul 2024 (v2):** We release BigVGAN-v2 along with pretrained checkpoints. Below are the highlights: - Custom CUDA kernel for inference: we provide a fused upsampling + activation kernel written in CUDA for accelerated inference speed. Our test shows 1.5 - 3x faster speed on a single A100 GPU. - Improved discriminator and loss: BigVGAN-v2 is trained using a multi-scale sub-band CQT discriminator and a multi-scale mel spectrogram loss. - Larger training data: BigVGAN-v2 is trained using datasets containing diverse audio types, including speech in multiple languages, environmental sounds, and instruments. - We provide pretrained checkpoints of BigVGAN-v2 using diverse audio configurations, supporting up to 44 kHz sampling rate and 512x upsampling ratio. ## Installat...

Source context: 319 downloads · 5 likes · Pipeline audio-to-audio · Library PyTorch · Repo nvidia/bigvgan_base_22khz_80band