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

Varsha Gupta; Anuj Sharma

Research Article

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

by Varsha Gupta, Anuj Sharma

International Journal of Computer Applications

Foundation of Computer Science (FCS), NY, USA

Volume 93 - Issue 10

Published: May 2014

Authors: Varsha Gupta, Anuj Sharma

10.5120/16248-5845

PDF

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 },
                        year    = { 2014 },
                        volume  = { 93 },
                        number  = { 10 },
                        pages   = { 1-6 },
                        doi     = { 10.5120/16248-5845 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }

                        %0 Journal Article
                        %D 2014
                        %A Varsha Gupta
                        %A Anuj Sharma
                        %T Classification of the Spoken Hindi Partially Reduplicated Words using Artificial Neural Network%T 
                        %J International Journal of Computer Applications
                        %V 93
                        %N 10
                        %P 1-6
                        %R 10.5120/16248-5845
                        %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

No index terms available.

Keywords

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