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Classroom speech intelligibility prediction using backpropagation Neural Network

Organized by Coimbatore Institute of Technology, 27th - 29th August 2007 at Coimbatore, Tamil Naidu, India.

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Bibliographic Details
Main Authors: Paularaj, M. P., Sazali, Yaacob, Ahmad Nazri, Thagirarani, M.
Format: Working Paper
Language:English
Published: Coimbatore Institute of Technology 2009
Subjects:
Neural network
Speech intelligibility
Classroom acoustics
Reverberation time
Signal to noise ratio
Neural networks (Computer science)
Back propagation
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/6421
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spelling my.unimap-64212009-08-18T07:34:10Z Classroom speech intelligibility prediction using backpropagation Neural Network Paularaj, M. P. Sazali, Yaacob Ahmad Nazri Thagirarani, M. Neural network Speech intelligibility Classroom acoustics Reverberation time Signal to noise ratio Neural networks (Computer science) Back propagation Organized by Coimbatore Institute of Technology, 27th - 29th August 2007 at Coimbatore, Tamil Naidu, India. In terms of individual communication, speech is the most important and efficient means, even in today's multi-media society. Thus, classrooms are mainly used for delivering speech between lecturers and students, it is important that acoustic designs accommodate and enhance such use. In achieving the highest possible speech intelligibility, the acoustical design of classrooms should be based on all the listeners in the classrooms. This paper investigates the effect of Signal to Noise Ratio (S/N) on Speech Transmission Index (STI) in University classrooms. The sound pressure levels are measured at different classrooms positions. Based on the measured speech levels, STI at various listeners' positions are determined and a simple backpropagation network model is developed to predict the STI at various listeners' positions and for various speech levels. 2009-07-10T03:18:05Z 2009-07-10T03:18:05Z 2007-08-27 Working Paper http://hdl.handle.net/123456789/6421 en International conference on Modeling and Simulation (CITICOMS 2007) Coimbatore Institute of Technology
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
Speech intelligibility
Classroom acoustics
Reverberation time
Signal to noise ratio
Neural networks (Computer science)
Back propagation
spellingShingle Neural network
Speech intelligibility
Classroom acoustics
Reverberation time
Signal to noise ratio
Neural networks (Computer science)
Back propagation
Paularaj, M. P.
Sazali, Yaacob
Ahmad Nazri
Thagirarani, M.
Classroom speech intelligibility prediction using backpropagation Neural Network
description Organized by Coimbatore Institute of Technology, 27th - 29th August 2007 at Coimbatore, Tamil Naidu, India.
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 Classroom speech intelligibility prediction using backpropagation Neural Network
title_short Classroom speech intelligibility prediction using backpropagation Neural Network
title_full Classroom speech intelligibility prediction using backpropagation Neural Network
title_fullStr Classroom speech intelligibility prediction using backpropagation Neural Network
title_full_unstemmed Classroom speech intelligibility prediction using backpropagation Neural Network
title_sort classroom speech intelligibility prediction using backpropagation neural network
publisher Coimbatore Institute of Technology
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/6421
_version_ 1643788561854496768
score 13.222552

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