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Ast Finetuned Audioset 10 10 0.4593 Heart Sounds

Developed by Vladimirlv
An audio classification model fine-tuned based on MIT/ast-finetuned-audioset-10-10-0.4593, specializing in heart sound classification tasks, achieving 96.95% accuracy on the validation set.
Downloads 46
Release Time : 3/4/2025

Model Overview

This model is an audio classification model specifically designed for heart sound classification tasks. Based on the AST (Audio Spectrogram Transformer) architecture, it is obtained by fine-tuning a pre-trained audioset model.

Model Features

High Accuracy
Achieves 96.95% classification accuracy on the validation set.
Based on AST Architecture
Uses the Audio Spectrogram Transformer architecture, specifically designed for processing audio spectrograms.
Transfer Learning
Fine-tuned based on a pre-trained audioset model, effectively utilizing pre-trained knowledge.

Model Capabilities

Heart Sound Classification
Audio Feature Extraction
Abnormal Heart Sound Detection

Use Cases

Medical Auxiliary Diagnosis
Abnormal Heart Sound Detection
Determines the presence of heart diseases by analyzing heart sounds.
Validation accuracy 96.95%
Telemedicine
Remote Heart Sound Monitoring
Preliminary screening by collecting heart sounds through mobile devices.
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