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Distilhubert Finetuned Gtzan
This model is an audio classification model fine-tuned on the GTZAN music classification dataset based on DistilHuBERT, primarily used for music genre classification tasks.
Downloads 14
Release Time : 7/1/2023
Model Overview
This is a lightweight audio classification model based on the DistilHuBERT architecture, fine-tuned on the GTZAN dataset, capable of classifying music clips by genre.
Model Features
Lightweight Architecture
Designed based on DistilHuBERT's lightweight structure, suitable for resource-constrained environments.
High Accuracy
Achieves 87% accuracy on the GTZAN test set.
Music Genre Classification
Optimized classification capability specifically for music audio data.
Model Capabilities
Music Genre Recognition
Audio Feature Extraction
Music Classification
Use Cases
Music Services
Music Streaming Auto-Classification
Automatically tags uploaded music with genres for music streaming platforms.
87% accuracy
Music Recommendation System
Improves recommendation algorithms based on music genre features.
Music Analysis
Music Library Management
Automatically organizes personal or commercial music libraries.
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