Self-organizing map and multilayer perceptron for malay speech recognition
Various studies have been done in this field of speech recognition using various techniques such as Dynamic Time Warping (DTW), Hidden Markov Model (HMM) and Artificial Neural Network (ANN) in order to obtain the best and suitable model for speech recognition system. Every model has its drawbacks an...
Saved in:
Main Author: | Goh, Kia Eng |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2006
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/6385/1/GohKiaEngMFSKSM2006.pdf http://eprints.utm.my/id/eprint/6385/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:62257 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Systematic treatment of failures using multilayer perceptrons
by: Siraj, Fadzilah, et al.
Published: (2000) -
The prediction of undergraduate student performance in chemistry course using multilayer perceptron
by: Che Akmal, Che Yahaya, et al.
Published: (2020) -
An improved multilayer perceptron based on wavelet approach for physical time series prediction
by: Ali, Ashikin
Published: (2014) -
Variations in the number of hidden nodes through multilayer perceptron networks to predict cycle time
by: Ahmarofi, Ahmad Afif, et al.
Published: (2020) -
An autopoietic approach to the development of speech recognition
by: Liew , Eng Siang
Published: (2004)