Investigation of MFCC feature representation for classification of spoken letters using Multi-Layer Perceptrons (MLP)

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Investigation of MFCC feature representation for classification of spoken letters using Multi-Layer Perceptrons (MLP)

In this paper, the Mel-Frequency Cepstral Coefficient (MFCC) is demonstrated as an effective feature representation method for spoken letters recognition. The Multi-Layer Perceptron (MLP) was used as a classifier to discriminate between two spoken letters - 'A' and 'S'. The datas...

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Bibliographic Details
Published in:	ICCAIE 2011 - 2011 IEEE Conference on Computer Applications and Industrial Electronics
Main Author:	Daud M.S.; Yassin I.M.; Zabidi A.; Johari M.A.; Salleh M.K.M.
Format:	Conference paper
Language:	English
Published:	2011
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84858756069&doi=10.1109%2fICCAIE.2011.6162096&partnerID=40&md5=b968932fde18023db818c50bd2e5437d

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