CNN-based audio segmentation toolkit. Allows to detect speech, music, noise and speaker gender. Has been designed for large scale gender equality studies based on speech time per gender.

Cross-platform VAD & Audio Event Detection toolkit — Python (PyPI) + TypeScript (npm) + C API. DFSMN models ~2MB, 200x real-time. Runs everywhere: native, browser (WASM), Node.js.

Script that identifies track title and artist from a list of MP3 files, thanks to audio fingerprinting.

A demo for fingerprint of python implement

Dockerized benchmark model & API for classifying music by genre based on TensorFlow and Essentia

Audio Studio Pro is a comprehensive, AI-powered application for professional audio production.

A deep learning model designed to distinguish human-made music from AI-generated music with a TKinter interface.

About I have taken the premade algorithm from the offical shazam research paper and try to implement it on our local dataset.

Easily create effective lightweight DNNs that detect the presence of music.

I have taken the premade algorithm from the offical shazam research paper and try to implement it on our local dataset.