⌨️ cli-only version, open-source Shazam client for Linux
-
Updated
Jul 16, 2023 - Rust
⌨️ cli-only version, open-source Shazam client for Linux
Shazam is an application used for audio segments recognition, based on digital fingerprint which are extracted from a time-frequency graph (spectrogram). In this approach, we extend its uses to sEMG signal classification .
Instructions to build a pi-based mobile device that can record, analyze and identify music on the go, similar to the famous "Shazam" app for smartphones.
As amazing as the shazam mac app is to find songs around you,it does not connect with your shazam account and does not suggest other providers but apple music! This tool solves the problem :D!
Aplikacja w ramach projektu grupowego. Program służy do wykrywania utworów muzycznych na podstawie odsłuchiwanego dźwięku
Front end for music recognition over Linux
Leverage APIs with Golang, HTML, CSS, and JavaScript for a comprehensive music fan experience. Track bands, explore concerts, and dive into artist details with this interactive, responsive web application. Perfect for music enthusiasts looking to connect with their favorite bands and discover live events.
React Music-app-2.0 using Rapid-API
Shazam Algorithm for audio fingerprinting.
Python script that allows you to control your Spotify from your VK, use Shazam from voice messages, Genius lyrics, set status for VK and much more in future updates.
Implementation of Shazam's Digital Audio Fingerprinting Algorithm in Python
General purpose scripts for music functionality
Music web app that allows users to explore and discover new music, check out their favorite artists, and stay up-to-date with the latest trending songs. It is built using modern web technologies such as React, Tailwind CSS, Redux, and the Shazam API.
script to identify a song through shazam servers, download tags, cover art and set to mp3 automatically.
Application for testing different technologies and approaches to development. Contributions are welcome
I have taken the premade algorithm from the offical shazam research paper and try to implement it on our local dataset.
Add a description, image, and links to the shazam topic page so that developers can more easily learn about it.
To associate your repository with the shazam topic, visit your repo's landing page and select "manage topics."