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A Survey on Isolated Word and Digit Recognition using Different Techniques

by Pooja Prajapati, Miral Patel
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 161 - Number 3
Year of Publication: 2017
Authors: Pooja Prajapati, Miral Patel
10.5120/ijca2017913130

Pooja Prajapati, Miral Patel . A Survey on Isolated Word and Digit Recognition using Different Techniques. International Journal of Computer Applications. 161, 3 ( Mar 2017), 6-15. DOI=10.5120/ijca2017913130

@article{ 10.5120/ijca2017913130,
author = { Pooja Prajapati, Miral Patel },
title = { A Survey on Isolated Word and Digit Recognition using Different Techniques },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2017 },
volume = { 161 },
number = { 3 },
month = { Mar },
year = { 2017 },
issn = { 0975-8887 },
pages = { 6-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume161/number3/27126-2017913130/ },
doi = { 10.5120/ijca2017913130 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:06:43.970552+05:30
%A Pooja Prajapati
%A Miral Patel
%T A Survey on Isolated Word and Digit Recognition using Different Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 161
%N 3
%P 6-15
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Nowadays, Spoken digit recognition is one the challenging task in the field of speech recognition. Spoken digit recognition is necessary nowadays in many applications that needed number as input like telephone dialing using speech, addresses, airline reservation & automatic directory to retrieve & send information which make the system more efficient to use. Also, It proves very helpful for physically challenged people in hands & eyes free applications. Various techniques are used for isolated speech recognition like MFCC, HMM, LPC. But among all of them many researchers found that MFCC is widely used & give a more accurate result. ASR achieves a maturity level in many Indian languages. Mostly research work has been carried out. Here in this paper, Discussions of the survey is on some of that recent research work in isolated digit recognition for the Indian languages like English, Gujarati, and Hindi & also in other similar languages. Likewise, discussing different approaches, methods & comparative analysis about recent research work done in isolated digit & word recognition in various languages.

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Index Terms

Computer Science
Information Sciences

Keywords

Speech Recognition MFCC Hidden Markov Model (HMM) LPC Isolated word isolated digit recognition.

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