Sep 2, 2021 · Two well-known datasets, IRMAS and NSynth, are used to apply various classification models and to validate the role of audio acoustic features ...

Four machine learning classification algorithms - support vector machine, decision tree, random forest, and ensemble models are applied to classify and tag ...

This paper studies the application effect of wind power instrument feature extraction based on multiacoustic data. Combined with the acoustic data training ...

Sep 16, 2021 · Four machine learning classification algorithms – support vector machine, decision tree, random forest, and ensemble models are applied to ...

This study aimed at demonstrating the AED derived feature component significantly outperforming MFCC features or log frequency filter parameters.

Sep 16, 2021 · Two well-known datasets, IRMAS and NSynth, are used to apply various classification models and to validate the role of audio acoustic features ...

In machine learning, audio classification describes a computer's ability to classify different sounds and audio events within a sound clip. It's a pretty cool ...

Environmental sound classification is an important branch of acoustic signal processing. In this work, a set of sound classification features based on audio ...

This study develops a sound recognition-based human activity classification model using a residual neural network.

The audio data can be classified using unsupervised or supervised learning based on data. This can be achieved by implementing different kinds of deep learning ...