audio-forensics

AI audio watermark removal & forensic anti-attribution toolkit. Neutralizes Suno, Udio, and neural fingerprints with ISO 226 perceptual masking.

Detect fake FLAC files — find MP3/AAC/Opus transcodes disguised as lossless audio. Fast Rust CLI + web UI.

Ensemble speaker verification achieving 97% accuracy - Intelligent fusion of MFCC+DTW (92%) and Resemblyzer CNN (94%) for voice authentication

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

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

A robust AI-powered web app to detect deepfake audio using Wav2Vec2 and FastAPI. Deployed on Hugging Face Spaces for the CyberSecurity Hackathon.

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.

Cross-platform audio quality and integrity analysis with lightweight Quick Inspect, deep evidence, and the Oracle Engine.

SaksiAI is an enterprise-grade Evidence Intelligence Platform (EIP) specifically designed for the Indonesian market. It addresses the Hidden Data Problem where critical organizational knowledge is trapped in unusable, fragmented formats such as scanned PDFs, voice recordings, and CCTV feeds.

Local-first audio forensic analyzer for spectral cutoffs, transcodes, clipping and discontinuities.

Small Audio Post-Processor

A FLAC steganography toolkit for encrypted payloads, audio forensics, and PCM embedding benchmarks.