Analysis of classroom speech intelligibility using fuzzy linear regression model

Speech is defined as a process of producing sounds confirming to an accepted code by the human vocal apparatus. These sounds are perceived by the ear-brain system with the primary purpose of conveying thoughts. The intelligibility of speech refers to the accuracy with which a normal listener can und...

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Main Authors: Paulraj, M.P., Dr., Sazali, Yaacob, Prof. Dr., Ahmad Nazri, Dr., Thagirarani, M .
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis 2009
Subjects:
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/6426
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Institution: Universiti Malaysia Perlis
Language: English
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spelling my.unimap-64262009-07-10T08:19:18Z Analysis of classroom speech intelligibility using fuzzy linear regression model Paulraj, M.P., Dr. Sazali, Yaacob, Prof. Dr. Ahmad Nazri, Dr. Thagirarani, M . Speech, Intelligibility, of Classroom acoustics Fuzzy systems Linear control systems Speech processing systems Speech perception Speech is defined as a process of producing sounds confirming to an accepted code by the human vocal apparatus. These sounds are perceived by the ear-brain system with the primary purpose of conveying thoughts. The intelligibility of speech refers to the accuracy with which a normal listener can understand a spoken word or phrase. In a classroom, a teacher talks to a group of students who are intended to hear everything the teacher says. The achievements and behavior of the students inside the classroom is mainly influenced by the speech intelligibility factor. For achieving the highest possible speech intelligibility, the acoustical design of classrooms should be based on all the listeners in the classroom. This research work investigates the effect of Signal to Noise Ratio (SNR) on speech intelligibility in University classrooms. The speech intelligibility level of a classroom depends on the room volume, source receiver distance, back ground noise level, RT, SNR. A set of Malay words with CVC format is complied and a speech signal data base is created. In a classroom, the speech signal is presented at a level of 47 to 72 dB with +/- 2dB and the noise at levels of 55, 60 and 63 dB are electrically mixed to yield a signal-to-noise ratio of -16 to +16 dB. The sound pressure levels are then measured at different classroom positions. From the measured sound pressure level, the speech intelligibility at various listeners' positions is determined and a simple neural network model is developed to predict the speech intelligibility at various listeners' positions of a classroom for various speech levels. 2009-07-10T08:19:17Z 2009-07-10T08:19:17Z 2006 Working Paper http://hdl.handle.net/123456789/6426 en Universiti Malaysia Perlis
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Speech, Intelligibility, of
Classroom acoustics
Fuzzy systems
Linear control systems
Speech processing systems
Speech perception
spellingShingle Speech, Intelligibility, of
Classroom acoustics
Fuzzy systems
Linear control systems
Speech processing systems
Speech perception
Paulraj, M.P., Dr.
Sazali, Yaacob, Prof. Dr.
Ahmad Nazri, Dr.
Thagirarani, M .
Analysis of classroom speech intelligibility using fuzzy linear regression model
description Speech is defined as a process of producing sounds confirming to an accepted code by the human vocal apparatus. These sounds are perceived by the ear-brain system with the primary purpose of conveying thoughts. The intelligibility of speech refers to the accuracy with which a normal listener can understand a spoken word or phrase. In a classroom, a teacher talks to a group of students who are intended to hear everything the teacher says. The achievements and behavior of the students inside the classroom is mainly influenced by the speech intelligibility factor. For achieving the highest possible speech intelligibility, the acoustical design of classrooms should be based on all the listeners in the classroom. This research work investigates the effect of Signal to Noise Ratio (SNR) on speech intelligibility in University classrooms. The speech intelligibility level of a classroom depends on the room volume, source receiver distance, back ground noise level, RT, SNR. A set of Malay words with CVC format is complied and a speech signal data base is created. In a classroom, the speech signal is presented at a level of 47 to 72 dB with +/- 2dB and the noise at levels of 55, 60 and 63 dB are electrically mixed to yield a signal-to-noise ratio of -16 to +16 dB. The sound pressure levels are then measured at different classroom positions. From the measured sound pressure level, the speech intelligibility at various listeners' positions is determined and a simple neural network model is developed to predict the speech intelligibility at various listeners' positions of a classroom for various speech levels.
format Working Paper
author Paulraj, M.P., Dr.
Sazali, Yaacob, Prof. Dr.
Ahmad Nazri, Dr.
Thagirarani, M .
author_facet Paulraj, M.P., Dr.
Sazali, Yaacob, Prof. Dr.
Ahmad Nazri, Dr.
Thagirarani, M .
author_sort Paulraj, M.P., Dr.
title Analysis of classroom speech intelligibility using fuzzy linear regression model
title_short Analysis of classroom speech intelligibility using fuzzy linear regression model
title_full Analysis of classroom speech intelligibility using fuzzy linear regression model
title_fullStr Analysis of classroom speech intelligibility using fuzzy linear regression model
title_full_unstemmed Analysis of classroom speech intelligibility using fuzzy linear regression model
title_sort analysis of classroom speech intelligibility using fuzzy linear regression model
publisher Universiti Malaysia Perlis
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/6426
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