Audio Event Classification
A technique that uses machine learning models to automatically categorize environmental sounds. Audio is typically first converted into spectrograms, after which models such as convolutional neural networks extract features and perform classification.
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Audio event classification refers to the use of machine learning models to automatically categorize environmental sounds, such as identifying gunshots, screams, breaking glass, and vehicle collisions.
Audio event classification generally does not transcribe conversation content, but it still requires continuous collection of audio streams for real-time analysis.
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Audio event classification refers to the use of machine learning models to automatically categorize environmental sounds, such as identifying gunshots, screams, breaking glass, and vehicle collisions.
50%UnverifiedAudio event classification generally does not transcribe conversation content, but it still requires continuous collection of audio streams for real-time analysis.
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