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Distilhubert Finetuned Chorddetection
A chord detection model fine-tuned based on the DistilHuBERT model, trained on the ChordStimation dataset with an evaluation accuracy of 100%
Downloads 14
Release Time : 10/10/2023
Model Overview
This model is specifically designed for music chord detection tasks, capable of identifying chord types in audio. Based on the lightweight DistilHuBERT architecture, it is suitable for real-time applications.
Model Features
High Accuracy
Achieves 100% accuracy on the evaluation set
Lightweight Architecture
Based on the lightweight DistilHuBERT model, suitable for real-time processing
Domain-Specific Optimization
Specially optimized for music chord detection tasks
Model Capabilities
Music Chord Recognition
Audio Feature Extraction
Real-Time Audio Processing
Use Cases
Music Analysis
Automatic Chord Annotation
Automatically annotates chord progressions in musical audio
Accuracy reaches 100%
Music Education Tool
Helps music learners identify and practice chords
Music Information Retrieval
Chord-Based Music Search
Retrieves similar music through chord sequences
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