Genre Recognizer Finetuned Gtzan Dset
G
Genre Recognizer Finetuned Gtzan Dset
Developed by pedromatias97
This is an audio classification model based on the distilhubert architecture, specifically designed for music genre recognition, achieving 89.72% accuracy after fine-tuning on the GTZAN dataset.
Downloads 183
Release Time : 9/17/2023
Model Overview
This model can classify music clips by genre, supporting recognition of 10 music genres, suitable for applications such as music classification and recommendation systems.
Model Features
High accuracy
Achieves 89.72% classification accuracy on the GTZAN test set
Lightweight
Based on the DistilHuBERT architecture, more lightweight compared to the original HuBERT model
Multi-genre recognition
Supports classification of 10 music genres
Model Capabilities
Music genre classification
Audio feature extraction
Music content analysis
Use Cases
Music recommendation system
Automatic music classification
Automatically add genre labels to songs in a music library
Improves music classification accuracy and efficiency
Music analysis
Music style trend analysis
Analyze genre distribution of music works from different periods
Helps the music industry understand market trends
Featured Recommended AI Models
Š 2025AIbase