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dc.contributor.authorPaulraj, M.P.
dc.contributor.authorSazali, Yaacob
dc.contributor.authorAhmad Nazri
dc.contributor.authorM., Thagirarani
dc.date.accessioned2009-08-18T03:40:27Z
dc.date.available2009-08-18T03:40:27Z
dc.date.issued2008-02-01
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/6975
dc.descriptionOrganized by Karpagam College of Engineering, 1st-2nd February 2008 at Coimbarote, India.en_US
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.publisherKarpagam College of Engineeringen_US
dc.relation.ispartofseriesProceedings of the International Conference on Intelligent Systems and Control (ISCO 2008)en_US
dc.subjectNeural networken_US
dc.subjectPsychoustic parametersen_US
dc.subjectSharpnessen_US
dc.subjectLoudnessen_US
dc.subjectRoughnessen_US
dc.subjectNeural networks (Computer science)en_US
dc.titlePrediction of psychoacoustic parameters using radial basic functions neural networken_US
dc.typeWorking Paperen_US


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