audio-forensics

Local-first steganography and DFIR workbench for guided file analysis, encrypted evidence handling, payload hiding/recovery, and reproducible research.

Audio analysis toolkit

Desktop GUI tool for detecting audio deepfakes using hand-crafted features + XGBoost/LightGBM ensemble. Segment-level analysis, heatmaps, PDF reports. Zero deep learning required.

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

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.

Detecta manipulaciones en grabaciones de audio con IA: localiza el empalme y genera un informe pericial con hash SHA-256

Free, local-first and explainable AI-origin music analysis for artists, labels, platforms, rights teams and researchers.

Explainable deepfake voice detection — RawNet2 + Whisper + real-time browser inference. 95.2% accuracy, 4.19% EER on ASVspoof 2019.

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

A web-based Audio Forensic Intelligence Platform for audio authenticity verification, fingerprint generation, tamper detection, watermark validation, and forensic report generation using Django and Librosa.

Forensic Audio Classifier Tool is an ML-based digital forensics system built using PyTorch, Transformers, and a custom hybrid pipeline (Acoustic Model + Language Model + Classifier). It is designed for the Tripura Bengali dialect, enabling accurate transcription, keyword detection, and automated (Flagged / Review / Safe) audio classification.

Deepfake audio detection thesis: ML & deep learning models with live benchmark & Streamlit demo

AcousticSpace — an end-to-end deepfake audio & acoustic forensics platform that analyzes 118 acoustic features, RIR/reverberation patterns, background consistency, and voice characteristics using Python, Librosa, ML, FastAPI, and React.

Master extractor: an exhaustive, reproducible measurement dump for lossless audio files. Measures; never interprets.

Experimental, evidence-only analysis of possible prior lossy audio compression

Local deepfake voice detection with Wav2Vec2 and acoustic liveness checks.

Why audio deepfake detectors that ace benchmarks collapse on real-world audio, and a pre-registered attempt to fix it — ASVspoof5 to In-the-Wild, with LLM-based failure explainability.

Kavach: India's Hindi-first anti-digital-arrest and voice-scam shield. Real-time AASIST-hindi spoof detection (0.9919 acc, 0/100 FP), Hindi coercion analysis (8 vectors), tamper-evident + ed25519 evidence packets for 1930. Audio 31/31, stress 226/226, 29/29 real incidents replayed, 37 unit tests, full battery re-runnable. IIC 3.0 Cybersecurity

a tiny python tool to generate spectrograms for audio files and conduct heuristic "lossy source" analysis.

A desktop application for digital audio forensics: AI deepfake detection, ECAPA-TDNN speaker verification, ENF power grid profiling, hex metadata inspection, and court-admissible PDF reports.