Real time noise-speech discrimination in time domain for speech recognition application

N. Mokhtar; H. Arof; F. R. Mahamd Adikan; M. Mubin

Real time noise-speech discrimination in time domain for speech recognition application

N. Mokhtar
, H. Arof
, F. R. Mahamd Adikan
, M. Mubin

Research output: Contribution to journal › Article › Research › peer-review

Abstract

A simple noise-speech discrimination method in time domain is presented. The random signal noise characteristics were studied in time domain. Using the characteristics information, in real time processing, a simple algorithm to detect starting and ending point of speech samples in time domain is being demonstrated. Out of 100 attempts, about 94% of successful attempts of noise-speech discrimination have been obtained with white noise background by choosing the critical thresholds values.

Original language	English
Pages (from-to)	18-22
Number of pages	5
Journal	Scientific Research and Essays
Volume	6
Issue number	1
Publication status	Published - 4 Jan 2011
Externally published	Yes

Keywords

Local mean
Noise-speech discrimination
Noisy signal

Cite this

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title = "Real time noise-speech discrimination in time domain for speech recognition application",

abstract = "A simple noise-speech discrimination method in time domain is presented. The random signal noise characteristics were studied in time domain. Using the characteristics information, in real time processing, a simple algorithm to detect starting and ending point of speech samples in time domain is being demonstrated. Out of 100 attempts, about 94\% of successful attempts of noise-speech discrimination have been obtained with white noise background by choosing the critical thresholds values.",

keywords = "Local mean, Noise-speech discrimination, Noisy signal",

author = "N. Mokhtar and H. Arof and \{Mahamd Adikan\}, \{F. R.\} and M. Mubin",

year = "2011",

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AU - Mokhtar, N.

AU - Arof, H.

AU - Mahamd Adikan, F. R.

AU - Mubin, M.

PY - 2011/1/4

Y1 - 2011/1/4

N2 - A simple noise-speech discrimination method in time domain is presented. The random signal noise characteristics were studied in time domain. Using the characteristics information, in real time processing, a simple algorithm to detect starting and ending point of speech samples in time domain is being demonstrated. Out of 100 attempts, about 94% of successful attempts of noise-speech discrimination have been obtained with white noise background by choosing the critical thresholds values.

AB - A simple noise-speech discrimination method in time domain is presented. The random signal noise characteristics were studied in time domain. Using the characteristics information, in real time processing, a simple algorithm to detect starting and ending point of speech samples in time domain is being demonstrated. Out of 100 attempts, about 94% of successful attempts of noise-speech discrimination have been obtained with white noise background by choosing the critical thresholds values.

KW - Local mean

KW - Noise-speech discrimination

KW - Noisy signal

UR - https://www.scopus.com/pages/publications/79951881639

M3 - Article

AN - SCOPUS:79951881639

SN - 1992-2248

VL - 6

SP - 18

EP - 22

JO - Scientific Research and Essays

JF - Scientific Research and Essays

IS - 1

ER -

Real time noise-speech discrimination in time domain for speech recognition application

Abstract

Keywords

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