人工智能音频水印去除与取证反归因工具包。利用 ISO 226 感知掩蔽中和 Suno、Udio 及神经指纹。
audio-forensics 开源项目推荐(59 个)
audio-forensics 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 59 个仓库使用历史 ADS-B 飞行数据进行飞机多普勒音频地理定位的 Python 工具(源码可用)
Locate an audio or video recording from the Doppler curves of propeller aircraft, matched against archived ADS-B flight tracks. Rust, on frankenscipy and asupersync.
查明一段音频录制于何处。飞过的飞机会留下微弱的发动机嗡鸣,其音调会随着飞过而下降。AeroDoppler 将这些音调变化与飞机实际飞行位置的公开记录进行比较,推算出麦克风当时所在的位置。
Detect fake FLAC files — find MP3/AAC/Opus transcodes disguised as lossless audio. Fast Rust CLI + web UI.
Locate where a recording was made from the Doppler curves of aircraft in its background, matched against ADS-B history. Agent skill + tested Python pipeline, English / 简体中文.
Remove the sounds that give away where and when a recording was made (aircraft Doppler tones, mains hum, metadata) and keep the voices.
合奏扬声器验证达到97%准确率——MFCC+DTW(92%)和Resemblyzer CNN(94%)的智能融合用于语音认证
ArtifactBench — a reproducible, lineage-aware benchmark for AI-generated music detection. v2 frozen protocol (arXiv:2609.23550), plus the v1.1 8-way public model comparison.
Audio analysis toolkit
A robust AI-powered web app to detect deepfake audio using Wav2Vec2 and FastAPI. Deployed on Hugging Face Spaces for the CyberSecurity Hackathon.
Audio forensics analyzer for Android. Spot fake lossless and upsampled files, measure LUFS, true peak, dynamic range and clipping, and explore the spectrogram, all on-device, in a skeuomorphic rack-unit UI.
Desktop GUI tool for detecting audio deepfakes using hand-crafted features + XGBoost/LightGBM ensemble. Segment-level analysis, heatmaps, PDF reports. Zero deep learning required.
Text2Speech2Clone Data Set
Detecta manipulaciones en grabaciones de audio con IA: localiza el empalme y genera un informe pericial con hash SHA-256
Luma is an enterprise-grade deepfake detection and forensic analysis platform that uses a 3-stream ensemble architecture to analyze visual, biological, and acoustic signals, delivering explainable, human-readable evidence instead of just a probability score.
Master extractor: an exhaustive, reproducible measurement dump for lossless audio files. Measures; never interprets.
A web app that detects deepfake voices using an LLM forensic analyzer.
Free, open-source forensic audio workstation, non-destructive editing, spectral analysis, and a tamper-evident audit trail, the kind of tooling usually locked behind expensive proprietary software.
Free, local-first and explainable AI-origin music analysis for artists, labels, platforms, rights teams and researchers.
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-forensics。
- 该话题在 GitHub 上共有 59 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 6495 Star,覆盖 6 种主要语言,数据更新于 2026-11-07。
- 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。