Voiced/ Unvoiced speech discrimination using symbolic dynamics

Chandrakar Kamath

Research output: Contribution to journalArticle

Abstract

The aim of this study is to evaluate how far the nonlinear symbolic dynamics approach helps to characterize the nonlinear properties of speech and thereby discriminate between voiced and unvoiced speech segments. The symbolic dynamics calculations were performed on voiced speech, unvoiced speech and silence data. Differences were found in histogram properties and complexity measures of symbol sequences among the three groups. The results of the analysis suggest that the nonlinear symbolic dynamics approach is helpful in classification of speech segments.

Original languageEnglish
Pages (from-to)184-190
Number of pages7
JournalMiddle - East Journal of Scientific Research
Volume19
Issue number2
DOIs
Publication statusPublished - 12-02-2014
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • General

Cite this

@article{40670bd228a54eecac2ceef52ee84214,
title = "Voiced/ Unvoiced speech discrimination using symbolic dynamics",
abstract = "The aim of this study is to evaluate how far the nonlinear symbolic dynamics approach helps to characterize the nonlinear properties of speech and thereby discriminate between voiced and unvoiced speech segments. The symbolic dynamics calculations were performed on voiced speech, unvoiced speech and silence data. Differences were found in histogram properties and complexity measures of symbol sequences among the three groups. The results of the analysis suggest that the nonlinear symbolic dynamics approach is helpful in classification of speech segments.",
author = "Chandrakar Kamath",
year = "2014",
month = "2",
day = "12",
doi = "10.5829/idosi.mejsr.2014.19.2.11469",
language = "English",
volume = "19",
pages = "184--190",
journal = "Middle East Journal of Scientific Research",
issn = "1990-9233",
publisher = "International Digital Organization for Scientific Information",
number = "2",

}

Voiced/ Unvoiced speech discrimination using symbolic dynamics. / Kamath, Chandrakar.

In: Middle - East Journal of Scientific Research, Vol. 19, No. 2, 12.02.2014, p. 184-190.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Voiced/ Unvoiced speech discrimination using symbolic dynamics

AU - Kamath, Chandrakar

PY - 2014/2/12

Y1 - 2014/2/12

N2 - The aim of this study is to evaluate how far the nonlinear symbolic dynamics approach helps to characterize the nonlinear properties of speech and thereby discriminate between voiced and unvoiced speech segments. The symbolic dynamics calculations were performed on voiced speech, unvoiced speech and silence data. Differences were found in histogram properties and complexity measures of symbol sequences among the three groups. The results of the analysis suggest that the nonlinear symbolic dynamics approach is helpful in classification of speech segments.

AB - The aim of this study is to evaluate how far the nonlinear symbolic dynamics approach helps to characterize the nonlinear properties of speech and thereby discriminate between voiced and unvoiced speech segments. The symbolic dynamics calculations were performed on voiced speech, unvoiced speech and silence data. Differences were found in histogram properties and complexity measures of symbol sequences among the three groups. The results of the analysis suggest that the nonlinear symbolic dynamics approach is helpful in classification of speech segments.

UR - http://www.scopus.com/inward/record.url?scp=84893536449&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84893536449&partnerID=8YFLogxK

U2 - 10.5829/idosi.mejsr.2014.19.2.11469

DO - 10.5829/idosi.mejsr.2014.19.2.11469

M3 - Article

VL - 19

SP - 184

EP - 190

JO - Middle East Journal of Scientific Research

JF - Middle East Journal of Scientific Research

SN - 1990-9233

IS - 2

ER -