Music emotion recognition with Few-Shot learning methods.

⌨️ cli-only version, open-source Shazam client for Linux

This project is a Telegram bot that allows users to send voice messages, which are then processed and identified using the Shazam API. The bot returns the song title, artist, and a direct URL to listen to the identified track. It is built using Python’s telebot library and asynchronous handling with asyncio.

non official audiotag python api wrapper

[DEPRECATED] Source code of the Web Audio Recognizer (WAR) website

Creation of an application to extract the partition of a music. (As Shazam does to recognize music)

Learning lab about Optical Music Recognition (OMR) and Music Generation

Telegram bot to find out the names of songs from audio, voice recordings and videos (uses Shazam in the background).

I built this to apply machine learning classification techniques to a novel dataset of music I had built up in midi format. It is built in Java.

App to recognize music

Discord Music Recognition Bot

基于 AHA-Music 的 SimMusic 听歌识曲扩展

sound recognition app for ubports (ubuntu touch)

eyecandy app dev for audd's music recognition api

During the project for the DIGITAL SIGNAL IMAGE MANAGEMENT course I learned how to manage and process audio and image files. The aim of the project was the classification, through machine learning and deep learning models, of musical genres by extracting specific audio features from the "gtzan dataset" dataset files with which to train the model…

TrackRadar is a music recognition bot that uses the Twitter API to identify songs from video content. Enhance your music discovery experience on Twitter with TrackRadar.

Shazam-like project for a signal processing class at Télécom ParisTech

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