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Adaptive HMM based Speech Recognition to Recognize Multi-lingual Sentence

by Shrurti Gupta, Kashif Shabeeb, Sonika Singh, Sandeep Sharma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 7
Year of Publication: 2015
Authors: Shrurti Gupta, Kashif Shabeeb, Sonika Singh, Sandeep Sharma
10.5120/20165-2271

Shrurti Gupta, Kashif Shabeeb, Sonika Singh, Sandeep Sharma . Adaptive HMM based Speech Recognition to Recognize Multi-lingual Sentence. International Journal of Computer Applications. 115, 7 ( April 2015), 28-32. DOI=10.5120/20165-2271

@article{ 10.5120/20165-2271,
author = { Shrurti Gupta, Kashif Shabeeb, Sonika Singh, Sandeep Sharma },
title = { Adaptive HMM based Speech Recognition to Recognize Multi-lingual Sentence },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 7 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 28-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume115/number7/20165-2271/ },
doi = { 10.5120/20165-2271 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:54:10.972248+05:30
%A Shrurti Gupta
%A Kashif Shabeeb
%A Sonika Singh
%A Sandeep Sharma
%T Adaptive HMM based Speech Recognition to Recognize Multi-lingual Sentence
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 7
%P 28-32
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Hidden Markov Models (HMMs) provides an effective framework for the modeling of time-varying sequence of spectral vector. An approach of mapping signal to discrete signal is to define it as a set of acoustic featured symbol over a minimal but constant time interval. The aim of proposing this paper is to recognize the speech sample using hidden markov model (HMM) with the use of cepstrum feature of our given speech sample within an adaptive interval of time for which pitch period is determined and divides the sample in accordance with this period. Secondly the phonetics or exact "pronunciation" of the word needs to be defined. These are established by associated rule probability where probability is done on word's pronunciation.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Hidden Markov Model (HMM) Associated Rule Probability and Pitch Detection Algorithm.