medical-18
Audio Classification
3260 papers • 126 benchmarks • 313 datasets
Audio Classification is a machine learning task that involves identifying and tagging audio signals into different classes or categories. The goal of audio classification is to enable machines to automatically recognize and distinguish between different types of audio, such as music, speech, and environmental sounds.
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Benchmarks
These leaderboards are used to track progress in audio-classification-36
Trend
Dataset
Best Model
Actions
AudioSet
AudioSet
ESC-50
ESC-50
VGGSound
VGGSound
Libraries
iUse these libraries to find audio-classification-36 models and implementations
3 papers 22
Datasets
No datasets available.
