SAVRN Model Hub · Models by Task

Audio to audio Models

2 models in the SAVRN Model Hub for audio to audio, from publishers including NVIDIA.

2 models.

Model · Audio to audio

bigvgan_v2_22khz_80band_256x

[[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) - General refactor and code improvements for improved readability. - Fully fused CUDA kernel of anti-alised activation (upsampling + activation + downsampling) with inference speed benchmark. - We provide pretrained checkpoints of BigVGAN-v2 using diverse audio configurations, supporting up to 44 kHz sampling rate and 512x upsampling…

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Model · Audio to audio

bigvgan_v2_44khz_128band_512x

NVIDIA

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Who Publishes These Models

NVIDIA 2

Questions

Which Audio to audio models are most downloaded?

By monthly downloads reported by the Hugging Face Hub: bigvgan_v2_22khz_80band_256x (1.4M); bigvgan_v2_44khz_128band_512x (754.8k).

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