Music-Genre-Classification and Music-Genre-Classification-System

Music-Genre-Classification
32
Emerging
Music-Genre-Classification-System
27
Experimental
Maintenance 0/25
Adoption 6/25
Maturity 8/25
Community 18/25
Maintenance 0/25
Adoption 4/25
Maturity 8/25
Community 15/25
Stars: 16
Forks: 16
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
Stars: 6
Forks: 5
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
No License Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About Music-Genre-Classification

MelihGulum/Music-Genre-Classification

This project aims to classify music genres. CNN architecture and GTZAN dataset were used for model training. Finally, a Web Application was made with Flask.

This tool helps musicians, content creators, or music archivists automatically sort audio files by genre. You upload an MP3 or WAV file, and the application identifies its genre, such as blues, classical, or rock. It's designed for anyone who needs to quickly categorize music tracks without manual listening.

music-cataloging audio-analysis sound-classification content-organization

About Music-Genre-Classification-System

Data-Science-Community-SRM/Music-Genre-Classification-System

Classify audio into genres

This system helps you automatically categorize audio files into one of 10 distinct music genres, such as jazz, rock, or classical. You feed it an audio signal, and it outputs the predicted genre label. This is ideal for music archivists, content creators, or anyone needing to organize large collections of sound files by genre.

music-categorization audio-analysis content-management digital-librarian sound-indexing

Related comparisons

Music-Genre-Classification and music-genre-classification

Scores updated daily from GitHub, PyPI, and npm data. How scores work