Distil Ast Audioset Finetuned Cry
An audio classification model fine-tuned on the DonateACry dataset based on bookbot/distil-ast-audioset, designed for identifying infant cries
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Release Time : 11/5/2023
Model Overview
This is an audio classification model specifically fine-tuned for infant cry recognition tasks, achieving 63.6% accuracy on the evaluation set
Model Features
Lightweight audio classification
Based on DistilAST architecture, reducing model size while maintaining good performance
Optimized for infant cries
Fine-tuned on DonateACry dataset, focusing on infant cry recognition tasks
Fast training convergence
Achieves optimal performance within 10 training epochs
Model Capabilities
Audio classification
Infant cry recognition
Sound event detection
Use Cases
Infant care
Infant cry monitoring
For smart infant monitoring devices to detect baby cries in real-time
Recognition accuracy 63.6%
Medical assistance
Newborn care
Automatic cry monitoring system for hospital neonatal wards
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