Prediction of classroom speech clarity using backpropagation neural network

Organized by Fakulti Kejuruteraan, Universiti Kebangsaan Malaysia, 27th - 28th November 2007 at Kuala Lumpur.

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Bibliographic Details
Main Authors:	Paularaj, M. P., Sazali, Yaacob, Ahmad Nazri, Thagirarani, M
Format:	Working Paper
Language:	English
Published:	Universiti Kebangsaan Malaysia 2009
Subjects:	Neural network model Speech clarity Speech intelligibility Reverberation time Signal to noise ration Neural networks (Computer science) Back propagation
Online Access:	http://dspace.unimap.edu.my/xmlui/handle/123456789/6368
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Institution:	Universiti Malaysia Perlis
Language:	English

id	my.unimap-6368
record_format	dspace
spelling	my.unimap-63682009-07-09T06:29:35Z Prediction of classroom speech clarity using backpropagation neural network Paularaj, M. P. Sazali, Yaacob Ahmad Nazri Thagirarani, M Neural network model Speech clarity Speech intelligibility Reverberation time Signal to noise ration Neural networks (Computer science) Back propagation Organized by Fakulti Kejuruteraan, Universiti Kebangsaan Malaysia, 27th - 28th November 2007 at Kuala Lumpur. A classroom's acoustic design should be constructed so that the highest possible degree of speech intelligibility is achieved for teachers and students. In achieving the highest possible speech intelligibility, the acoustical design of classrooms should be based on the listener's positions in the classroom. The variation of Speech Clarity (SC) in a University Classroom with respect to Signal to Noise Ratio (SN) is dealt in this paper. The speech levels are measured at different seating position and the SC is determined. A simple Neural Network model was developed to predict the SC at any point in the classroom. 2009-07-09T06:29:35Z 2009-07-09T06:29:35Z 2007-11-27 Working Paper http://hdl.handle.net/123456789/6368 en Proceeding of Regional Conference on Engineering Mathematics, Mechanics, Manufacturing & Architecture (EM3ARC 2007) Universiti Kebangsaan Malaysia
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	Neural network model Speech clarity Speech intelligibility Reverberation time Signal to noise ration Neural networks (Computer science) Back propagation
spellingShingle	Neural network model Speech clarity Speech intelligibility Reverberation time Signal to noise ration Neural networks (Computer science) Back propagation Paularaj, M. P. Sazali, Yaacob Ahmad Nazri Thagirarani, M Prediction of classroom speech clarity using backpropagation neural network
description	Organized by Fakulti Kejuruteraan, Universiti Kebangsaan Malaysia, 27th - 28th November 2007 at Kuala Lumpur.
format	Working Paper
author	Paularaj, M. P. Sazali, Yaacob Ahmad Nazri Thagirarani, M
author_facet	Paularaj, M. P. Sazali, Yaacob Ahmad Nazri Thagirarani, M
author_sort	Paularaj, M. P.
title	Prediction of classroom speech clarity using backpropagation neural network
title_short	Prediction of classroom speech clarity using backpropagation neural network
title_full	Prediction of classroom speech clarity using backpropagation neural network
title_fullStr	Prediction of classroom speech clarity using backpropagation neural network
title_full_unstemmed	Prediction of classroom speech clarity using backpropagation neural network
title_sort	prediction of classroom speech clarity using backpropagation neural network
publisher	Universiti Kebangsaan Malaysia
publishDate	2009
url	http://dspace.unimap.edu.my/xmlui/handle/123456789/6368
_version_	1643788509802135552

Prediction of classroom speech clarity using backpropagation neural network

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