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Ast Finetuned Audioset 10 10 0.4593 Finetuned Ie

Developed by minoosh
This model is a fine-tuned audio classification model based on MIT/ast-finetuned-audioset-10-10-0.4593, achieving 60.76% accuracy on the evaluation set.
Downloads 14
Release Time : 4/26/2023

Model Overview

This is a fine-tuned model for audio classification, based on the AST (Audio Spectrogram Transformer) architecture, optimized for specific datasets.

Model Features

Efficient Audio Processing
Based on AST architecture, capable of efficiently processing audio spectrograms
Fine-tuning Optimization
Fine-tuned on specific datasets to improve classification performance

Model Capabilities

Audio Classification
Spectrogram Analysis

Use Cases

Audio Analysis
Environmental Sound Classification
Identify and classify different types of sounds in various environments
Evaluation accuracy 60.76%
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