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:
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/6368
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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
score 13.154949