Ensemble speaker verification achieving 97% accuracy - Intelligent fusion of MFCC+DTW (92%) and Resemblyzer CNN (94%) for voice authentication
-
Updated
Nov 13, 2025 - Jupyter Notebook
Ensemble speaker verification achieving 97% accuracy - Intelligent fusion of MFCC+DTW (92%) and Resemblyzer CNN (94%) for voice authentication
Audio analysis toolkit
iZotope RX Advanced 11: Official desktop installer for advanced audio repair with
Desktop GUI tool for detecting audio deepfakes using hand-crafted features + XGBoost/LightGBM ensemble. Segment-level analysis, heatmaps, PDF reports. Zero deep learning required.
Deepfake voice detection web app. Extracts 7 features and uses an LLM forensic analyzer to flag deepfakes. Next.js + Supabase.
Free, local-first and explainable AI-origin music analysis for artists, labels, platforms, rights teams and researchers.
a tiny python tool to generate spectrograms for audio files and conduct heuristic "lossy source" analysis.
Local deepfake voice detection with Wav2Vec2 and acoustic liveness checks.
Forensic toolkit for detecting AI-synthetic voices through Nonlinear Phenomena (NLP) and phase-space reconstruction.
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.
A Decoupled Tri-Modal Architecture for Real-Time Deepfake Interception via WebRTC and Late-Fusion.
Detect fake FLAC files — find MP3/AAC/Opus transcodes disguised as lossless audio. Fast Rust CLI + web UI.
A FLAC steganography toolkit for encrypted payloads, audio forensics, and PCM embedding benchmarks.
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
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.
A robust AI-powered web app to detect deepfake audio using Wav2Vec2 and FastAPI. Deployed on Hugging Face Spaces for the CyberSecurity Hackathon.
Small Audio Post-Processor
Local-first audio forensic analyzer for spectral cutoffs, transcodes, clipping and discontinuities.
Add a description, image, and links to the audio-forensics topic page so that developers can more easily learn about it.
To associate your repository with the audio-forensics topic, visit your repo's landing page and select "manage topics."