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.

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

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

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

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