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Reseach Article

Analysis of Various Features using Different Temporal Derivatives from Speech Signals

by Muskan, Naveen Aggarwal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 118 - Number 8
Year of Publication: 2015
Authors: Muskan, Naveen Aggarwal
10.5120/20762-3191

Muskan, Naveen Aggarwal . Analysis of Various Features using Different Temporal Derivatives from Speech Signals. International Journal of Computer Applications. 118, 8 ( May 2015), 1-9. DOI=10.5120/20762-3191

@article{ 10.5120/20762-3191,
author = { Muskan, Naveen Aggarwal },
title = { Analysis of Various Features using Different Temporal Derivatives from Speech Signals },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 118 },
number = { 8 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume118/number8/20762-3191/ },
doi = { 10.5120/20762-3191 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:01:06.255976+05:30
%A Muskan
%A Naveen Aggarwal
%T Analysis of Various Features using Different Temporal Derivatives from Speech Signals
%J International Journal of Computer Applications
%@ 0975-8887
%V 118
%N 8
%P 1-9
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Speech recognition being an upcoming field is evaluated and research is being done for the same. Research in speech recognition for different languages is at peak. Less amount of work has been done for Indian languages particularly for Punjabi language. In this paper, Punjabi speech has been analyzed by extracting various features along with different temporal derivatives using feature extraction techniques. The dataset which has been considered for the research work is the set of Punjabi isolated digit recorded as 24 bit 44100 Hz mono PCM signal. Comparison of range and accuracy for acceptable results has been determined using HMM.

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Index Terms

Computer Science
Information Sciences

Keywords

Speech Recognition MFCC PLP LPC FBank Melspec