Prediction of psychoacoustic parameters using radial basic functions neural network

Organized by Karpagam College of Engineering, 1st-2nd February 2008 at Coimbarote, India.

Saved in:

Bibliographic Details
Main Authors:	Paulraj, M.P., Sazali, Yaacob, Ahmad Nazri, M., Thagirarani
Format:	Working Paper
Language:	English
Published:	Karpagam College of Engineering 2009
Subjects:	Neural network Psychoustic parameters Sharpness Loudness Roughness Neural networks (Computer science)
Online Access:	http://dspace.unimap.edu.my/xmlui/handle/123456789/6975
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Universiti Malaysia Perlis
Language:	English

id	my.unimap-6975
record_format	dspace
spelling	my.unimap-69752009-08-18T03:40:27Z Prediction of psychoacoustic parameters using radial basic functions neural network Paulraj, M.P. Sazali, Yaacob Ahmad Nazri M., Thagirarani Neural network Psychoustic parameters Sharpness Loudness Roughness Neural networks (Computer science) Organized by Karpagam College of Engineering, 1st-2nd February 2008 at Coimbarote, India. The ability of human listeners to estimate psychoacoustic parameters from the speakers speech levels at different listener's positions in a classroom is an interesting and not yet thoroughly examined phenomenon. The goal of this paper is to propose a technique that uses radial basis functions neural network to estimate the non linear mapping function that best represents the relationship among input (Frequency Spectrum of Speech level at all listeners positions in the classroom, the sound pressure level and the signal to noise ratio of the speech signal) and output (Psychoacoustic parameters such as loudness, sharpness and roughness) variables in a database. 2009-08-18T03:40:27Z 2009-08-18T03:40:27Z 2008-02-01 Working Paper http://hdl.handle.net/123456789/6975 en Proceedings of the International Conference on Intelligent Systems and Control (ISCO 2008) Karpagam College of Engineering
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 Psychoustic parameters Sharpness Loudness Roughness Neural networks (Computer science)
spellingShingle	Neural network Psychoustic parameters Sharpness Loudness Roughness Neural networks (Computer science) Paulraj, M.P. Sazali, Yaacob Ahmad Nazri M., Thagirarani Prediction of psychoacoustic parameters using radial basic functions neural network
description	Organized by Karpagam College of Engineering, 1st-2nd February 2008 at Coimbarote, India.
format	Working Paper
author	Paulraj, M.P. Sazali, Yaacob Ahmad Nazri M., Thagirarani
author_facet	Paulraj, M.P. Sazali, Yaacob Ahmad Nazri M., Thagirarani
author_sort	Paulraj, M.P.
title	Prediction of psychoacoustic parameters using radial basic functions neural network
title_short	Prediction of psychoacoustic parameters using radial basic functions neural network
title_full	Prediction of psychoacoustic parameters using radial basic functions neural network
title_fullStr	Prediction of psychoacoustic parameters using radial basic functions neural network
title_full_unstemmed	Prediction of psychoacoustic parameters using radial basic functions neural network
title_sort	prediction of psychoacoustic parameters using radial basic functions neural network
publisher	Karpagam College of Engineering
publishDate	2009
url	http://dspace.unimap.edu.my/xmlui/handle/123456789/6975
_version_	1643788582547095552

Prediction of psychoacoustic parameters using radial basic functions neural network

Similar Items