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

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 web app that detects deepfake voices using an LLM forensic analyzer.

Text2Speech2Clone Data Set

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.

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

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

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

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

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

AI voice security platform detecting synthetic speech & voice cloning attacks, fusing WavLM transformer embeddings + LFCC forensics + LightGBM — 99.84% accuracy.

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

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

Forensic toolkit for detecting AI-synthetic voices through Nonlinear Phenomena (NLP) and phase-space reconstruction.

A Decoupled Tri-Modal Architecture for Real-Time Deepfake Interception via WebRTC and Late-Fusion.

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.

Full-stack forensic speech analysis platform for detecting AI-generated vs human audio with real-time inference and explainable ML.

Explainable deepfake audio detection using CNN-LSTM, LFCC, and GradCAM.