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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An improved multilayer perceptron based on wavelet approach for physical time series prediction
by: Ali, Ashikin
Published: (2014) -
Predicting Clinical Waste Cost In Malaysian Hospitals Using Multilayer Perceptron Neural Network
by: Tabasi, Rahele
Published: (2012) -
An autopoietic approach to the development of speech recognition
by: Liew , Eng Siang
Published: (2004) -
An improved artificial bee colony algorithm for training multilayer perceptron in time series prediction
by: Shah, Habib
Published: (2014) -
Clustering unstructured data from a text database using self-organizing maps
by: Kamaruddin, Siti Sakira
Published: (1998)