shukkkur/Classify-Song-Genres-from-Audio-Data
Python ML Methods to classify songs into genres.
This project helps music streaming services and music curators automatically categorize songs into genres. By analyzing audio metrics like danceability, energy, and tempo, it takes raw song data and classifies it as either 'Rock' or 'Hip-Hop'. This is useful for anyone managing a music catalog who needs to organize tracks efficiently for recommendations or search.
No commits in the last 6 months.
Use this if you need to automatically sort a collection of songs into basic genres based on their audio characteristics.
Not ideal if you need to classify music into a wide range of specific sub-genres or require highly nuanced categorization beyond broad genre labels.
Stars
9
Forks
4
Language
Jupyter Notebook
License
CC-BY-4.0
Category
Last pushed
May 25, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/shukkkur/Classify-Song-Genres-from-Audio-Data"
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...