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) 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…
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