Song Recognition, Music Recognition Api, Music Discovery, Audio Search, Audio Fingerprint
music discovery
expert choices
machine learning
Spotify API
Last.fm API
self-hosted Shazam
Ubuntu 18.04
The article delves into different approaches for music discovery, such as relying on experts’ recommendations, leveraging machine learning algorithms and utilizing APIs from platforms like Spotify and Last.fm. Additionally, it explores the possibility of building one’s own Shazam-like algorithm or song recognition system in Ubuntu 18.04.
music discovery
find music by combining choices of experts
build recommendation engine using spotify api
netease 网易云听歌识曲
self-hosted
shazam algorithm
findit another shazam clone
audiotag.info
portify recognize local music and add them to spotify playlist
nowspinning get song info and cover art
shazam
shazamio reverse engineered shazam api with many supported functions
audiorec shazam client for linux, with cli support
midomi houndify soundhound
to get track info from soundhound (no cookie):
https://www.midomi.com/api/track?trackID=100282107076607645
the houndify music recognition api:
wss://houndify.midomi.com/
some lib for midomi found over here
it can also bridge yandex music recognition api
houndify also have api for that, but requires credit
free credits per day: 100
soundhound now requires 1 credit