Time normalization of LPC feature using warping method
This paper presents pre-processing of input features to artificial neural network (NN). This is for preparation of reliable reference templates for the set of words to be recognized. The processed features are pitch and Linear Predictive Coefficients (LPC) for input and reference templates, based on...
Saved in:
Main Authors: | Sudirman, Rubita, Salleh, Sh. Hussain, Khalid, Puspa Inayat, Ahmad, Abd. Hamid |
---|---|
Format: | Article |
Language: | English |
Published: |
Faculty of Electrical Engineering, Universiti Teknologi Malaysia
2005
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/1308/1/Elektrika05.pdf http://eprints.utm.my/id/eprint/1308/ http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.631.3507 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Pre-processing of input features using LPC and warping process
by: Sudirman, Rubita, et al.
Published: (2005) -
Dynamic time warping fixed frame
by: Sudirman, Rubita, et al.
Published: (2008) -
Dynamic time warping
by: Sudirman, Rubita, et al.
Published: (2008) -
Dynamic Time Warping fixed - frame coefficient with pitch feature for speech recognition system with neural network
by: Sudirman, Rubita
Published: (2007) -
Effect of normalization method on classification of speech dysfluencies using LPC, LPCC and WLPCC
by: Lim, Sin Chee, et al.
Published: (2012)