Local DTW Coefficients and Pitch Feature for Back-Propagation NN Digits Recognition

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Local DTW Coefficients and Pitch Feature for Back-Propagation NN Digits Recognition

This paper presents a method to extract existing speech features in dynamic time warping path which originally was derived from LPC. This extracted feature coefficients represent as an input for neural network back-propagation. The coefficients are normalized with respect to the reference pattern ac...

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Bibliographic Details
Main Authors:	Sudirman, Rubita, Salleh, Sh-Hussain, Salleh, Shaharuddin
Format:	Conference or Workshop Item
Language:	English
Published:	2006
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/1999/ http://eprints.utm.my/1999/1/rubita06_NCS_Chiang_Mai.pdf

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