SuperSonicHub1/spotify-audio-embeddings
Visualizations of music semantics calculus using Spotify and deep embeddings.
This project helps music curators and radio DJs visually explore the relationships between different music genres and songs on Spotify. By analyzing short audio previews from thousands of songs, it creates an interactive map where similar songs and genres are grouped together. You input Spotify audio previews, and it outputs a navigable, visual map that lets you discover and play related tracks.
No commits in the last 6 months.
Use this if you want to understand the 'auditory distance' between different songs and genres on Spotify and discover new music for curated playlists or radio shows.
Not ideal if you need precise, human-labeled genre classifications or a system for extremely fine-grained musical analysis beyond general semantic similarity.
Stars
17
Forks
1
Language
Python
License
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Category
Last pushed
Aug 05, 2023
Commits (30d)
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