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Distilhubert Finetuned Gtzan Bs 4
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Distilhubert Finetuned Gtzan Bs 4

Developed by DrishtiSharma
An audio classification model based on the DistilHuBERT architecture, fine-tuned on the GTZAN music genre classification dataset with an accuracy of 86%
Audio Classification
Transformers
Open Source License:Apache-2.0#Music Classification#Lightweight Audio Model#High Accuracy
Downloads 14
Release Time : 8/10/2023

Model Overview

This model is a fine-tuned version of DistilHuBERT, specifically designed for music genre classification tasks, and performs excellently on the GTZAN dataset.

Model Features

Efficient Audio Feature Extraction
Based on the DistilHuBERT architecture, capable of efficiently extracting audio features
High Accuracy
Achieves 86% accuracy on the GTZAN music genre classification task
Lightweight
As a distilled version, it is more lightweight compared to the original HuBERT model

Model Capabilities

Music Genre Classification
Audio Feature Extraction

Use Cases

Music Analysis
Automatic Music Genre Classification
Classify music clips into genres
86% accuracy
Music Recommendation System
Serve as a feature extraction component for music recommendation systems
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