D

Discogs Maest 10s Pw 129e

Developed by mtg-upf
MAEST is a Transformer model family based on PASST, focusing on music analysis applications, particularly excelling in music genre classification tasks.
Downloads 33
Release Time : 9/27/2023

Model Overview

MAEST is a pre-trained music audio representation model for music genre classification tasks, capable of predicting 400 music genres.

Model Features

Efficient music representation learning
Efficiently learns music audio representations based on supervised training methods
Broad music genre coverage
Supports classification of 400 music genres sourced from Discogs
Downstream task adaptability
Intermediate layer representations perform excellently in various music analysis tasks

Model Capabilities

Music genre classification
Music emotion recognition
Instrument detection
Music audio feature extraction

Use Cases

Music information retrieval
Automatic music genre tagging
Automatically add genre labels to music libraries
Supports 400 genre classifications
Music recommendation systems
Genre-based similar music recommendation
Find similar tracks using music genre features
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase