GTZAN Music Genre Dataset Genre Classification
1,000 tracks from 10 different music genres (rock, jazz, classical, etc.).
About Dataset
The Marsyas Audio Datasets are a collection of audio corpora curated as part of the Marsyas (Music Analysis, Retrieval, and Synthesis for Audio Signals) project. Maintained by academic researchers, these datasets cover various audio domains such as music genres, environmental sounds, and audio features. The datasets are designed to support experimentation in audio signal processing and music information retrieval, and they are accompanied by documentation describing their structure and intended use.
Purpose of Dataset
Marsyas Datasets Are Used Primarily For Research And Education In Audio Signal Processing, Music Information Retrieval, And Machine Learning For Audio. They Support Tasks Such As Audio Classification, Feature Extraction, Genre Recognition, And Sound Analysis. Researchers And Students Use These Datasets To Prototype Algorithms And Evaluate Audio Processing Techniques In Controlled Research Environments.
Dataset Metadata
Other
NA
Sector Agnostic
Marsyas Project (George Tzanetakis et al.)
-
Unstructured
NA
NA
N.A.
23/01/26 11:57:02
Open
Redirected
Primary
Other
Activity Overview
0
4 
20 
0
Tags
- Audio Processing
- Music Information Retrieval
License Control
Other
© 2026 - Copyright AIKosh. All rights reserved. This portal is developed by National e-Governance Division for AIKosh mission.