WB2024/Essentia-to-Metadata
Intelligent audio analysis and automatic genre/mood tagging using Essentia ML models
Stars
35
Forks
3
Language
Python
License
MIT
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/WB2024/Essentia-to-Metadata"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
mlachmish/MusicGenreClassification
Classify music genre from a 10 second sound stream using a Neural Network.
HareeshBahuleyan/music-genre-classification
Recognizing the genre of music files using machine learning and deep learning models
despoisj/DeepAudioClassification
Finding the genre of a song with Deep Learning
serkansulun/midi-emotion
Generates multi-instrument symbolic music (MIDI), based on user-provided emotions from...
cobanov/audio-genre-detection
Categorize audio files by genre effortlessly. Use Dockerized environment and API to classify...