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Reseach Article

Processing and Recognition of Voice

by Sourav De, Arup Kumar Das, Brotin Biswas, Arindam Biswas
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 85 - Number 5
Year of Publication: 2014
Authors: Sourav De, Arup Kumar Das, Brotin Biswas, Arindam Biswas
10.5120/14835-3088

Sourav De, Arup Kumar Das, Brotin Biswas, Arindam Biswas . Processing and Recognition of Voice. International Journal of Computer Applications. 85, 5 ( January 2014), 7-14. DOI=10.5120/14835-3088

@article{ 10.5120/14835-3088,
author = { Sourav De, Arup Kumar Das, Brotin Biswas, Arindam Biswas },
title = { Processing and Recognition of Voice },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 85 },
number = { 5 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 7-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume85/number5/14835-3088/ },
doi = { 10.5120/14835-3088 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:01:39.356017+05:30
%A Sourav De
%A Arup Kumar Das
%A Brotin Biswas
%A Arindam Biswas
%T Processing and Recognition of Voice
%J International Journal of Computer Applications
%@ 0975-8887
%V 85
%N 5
%P 7-14
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With rise of new technologies involving signal processing, the range of operations with signals and processing of those signals has become quite easy. Voice is considered to a unique feature of a person. So extraction of voice features and detecting and processing them in correct manner is always a matter of great concern. There's been a lot of technique to detect the voice properly, but every method has some drawbacks due to some inherent property of voice. Voice can be considered to be a random signal with some probabilities. So recognition of voice with good efficiency is not always an easy job to do. Here the feature extraction of voice by MFCC model and checking those features by three different algorithms with efficiency comparison is discussed by us.

References
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Index Terms

Computer Science
Information Sciences

Keywords

DCT: Direct Cosine Transform DFT: Discrete Fourier Transform DWT: Dynamic time wrapping FT: Fourier Transform HMM: Hidden Markov model MFCC: Mel frequency Cepstrum Coefficient VQ: Vector Quantization