面向研究人员的基于PyTorch的音频源分离工具包
audio-separation 开源项目推荐(121 个)
audio-separation 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 121 个仓库Unofficial PyTorch implementation of Google AI's VoiceFilter system
A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).
Deep Recurrent Neural Networks for Source Separation
一款应用程序,用于使用基于检索的语音转换创建基于音频的内容,例如歌曲封面和语音。
A PyTorch implementation of DNN-based source separation.
Two-talker Speech Separation with LSTM/BLSTM by Permutation Invariant Training method.
A PyTorch implementation of Time-domain Audio Separation Network (TasNet) with Permutation Invariant Training (PIT) for speech separation.
由 FFmpeg、本地 AI 和快速的右键工作流驱动的离线媒体处理工具。
An implementation of audio source separation tools.
从YouTube视频中剥离背景音乐
Ultimate Vocal Remover for Google Colab
Official PyTorch implementation for "Iterative Audio Separation with Mixture Consistency via MIMO Model Extension"
logWMSE, an audio quality metric & loss function with support for digital silence target. Useful for training and evaluating audio source separation systems.
Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem
Variations of L1 SNR Loss function for training audio source separation machine learning models
AI video auto-dubbing plugin for coding agents — translate & dub videos into multiple languages via the Perso Dubbing API. Works with Claude Code, Cursor, Codex & Antigravity.
Real time multilingual face translator
Unofficial PyTorch implementation of "Moises-Light: Resource-efficient Band-split U-Net For Music Source Separation"
Software that performs the separation of vocals from music using neural networks (part of my Bachelor's thesis).
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/audio-separation。
- 该话题在 GitHub 上共有 121 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 6731 Star,覆盖 6 种主要语言,数据更新于 2026-11-06。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。