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Classification of the Spoken Hindi Partially Reduplicated Words using Artificial Neural Network

by Varsha Gupta, Anuj Sharma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 93 - Number 10
Year of Publication: 2014
Authors: Varsha Gupta, Anuj Sharma
10.5120/16248-5845

Varsha Gupta, Anuj Sharma . Classification of the Spoken Hindi Partially Reduplicated Words using Artificial Neural Network. International Journal of Computer Applications. 93, 10 ( May 2014), 1-6. DOI=10.5120/16248-5845

@article{ 10.5120/16248-5845,
author = { Varsha Gupta, Anuj Sharma },
title = { Classification of the Spoken Hindi Partially Reduplicated Words using Artificial Neural Network },
journal = { International Journal of Computer Applications },
issue_date = { May 2014 },
volume = { 93 },
number = { 10 },
month = { May },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume93/number10/16248-5845/ },
doi = { 10.5120/16248-5845 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:15:25.353395+05:30
%A Varsha Gupta
%A Anuj Sharma
%T Classification of the Spoken Hindi Partially Reduplicated Words using Artificial Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 93
%N 10
%P 1-6
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The most ordinary way of information exchange is Speech. It provides an efficient way of man-machine communication using speech interfacing. Speech interfacing involves two process, speech synthesis and speech recognition. Speech recognition allows a computer to identify the words that a person speaks to a microphone or telephone. The two main mechanism, used in speech recognition, are signal processing mechanism at front-end and pattern matching mechanism at back-end. In this paper, a setup for recognition of Spoken Hindi Partially Reduplicated Words (SHPRW), that uses Mel frequency cepstral coefficients at front-end and artificial neural networks at back-end has been developed to perform the experiment.

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Index Terms

Computer Science
Information Sciences

Keywords

Automatic Speech Recognition (ASR) Spoken Hindi Partially Reduplicated Words (SHPRW) Endponit Detection (EPD) Mel Frequency Cepstral Component (MFCC) and Artificial Neural Network (ANN).

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