Classical Composer Classification New
An audio classification model based on facebook/wav2vec2-base-960h, capable of identifying the composer of classical music audio clips
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Release Time : 8/19/2023
Model Overview
This model can analyze audio input and return confidence scores for its creation by five renowned classical composers (Beethoven, Bach, Schubert, Mozart, Brahms). It is suitable for classical music recognition and classification tasks.
Model Features
Multi-Composer Classification
Capable of simultaneously identifying the stylistic features of five renowned classical music composers
Based on Curated Dataset
Trained using the MusicNet dataset, which includes 330 meticulously annotated classical music recordings
Transfer Learning Application
Fine-tuned from the pre-trained wav2vec2 model, effectively utilizing audio feature extraction capabilities
Model Capabilities
Audio Feature Extraction
Multi-class Probability Prediction
Classical Music Style Recognition
Use Cases
Music Education
Classical Music Appreciation Aid
Helps students identify the stylistic features of different composers' music
Improves music appreciation skills and composer recognition accuracy
Digital Music Management
Automatic Music Classification
Automatically adds composer tags to classical music works in digital music libraries
Enhances music library organization efficiency
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