MACHINE LEARNING APPROACHES FOR HUMAN CHARACTERISTICS IDENTIFICATION VIA SPEECH- A SURVEY

Prof. Dr.Prachi Joshi1, Vinit Bhosale1, Ketan Kodmelwar1, Ninad Naik1, Komal Ramole1

1Department of Computer Engineering, MIT College of Engineering, Pune 

ABSTRACT:  In recent years, interactions between machine and humans has become an issue of concern. Speech is most natural form of thought in which human communicate. Speech recognition involves transformation of speech signal into sequence of words with help of algorithm. Analysis of speech can lead to capture the certain important aspects which can help in determining individual characteristics. This further can also help in capturing grasping power and detecting speech disabilities of children with special needs. This paper gives a survey of techniques used for speech processing.

Keywords: Communication, Speech, KNN, SVM, Machine Learning, Speech features

 

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By | 2017-07-06T10:05:43+00:00 July 6th, 2017|Conference Publications|0 Comments

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