Support Vector Machine and Sounds
Anam Bansal
Assistant Professor, Central University of Punjab, Bathinda , IN
Keywords: Machine Learning, Support Vector Machines, Hyperplane, Kernels, Ensemble
Abstract
Sounds produced through different means can help in recognizing the context of sound generation or these sounds can help in various fields if classified or detected properly. Sounds, in other words, audio have been used since years in different applications and researchers have used various neural networks and machine learning models for recognizing and classifying sounds. Audio event detection and event classification have achieved a new phase using machine learning classifiers such as Support Vector Machines (SVM), K- Nearest Neighbour, Artificial Neural Networks etc. The most promising classifier that is used in field of audio is Support Vector Machine. It has achieved good performance in every application related to audio. In this paper, the use of SVM for various audio related tasks is discussed.
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