A fusion between divergence algorithm and back propagation neural network for segmentation of connected speech

Saved in:
Bibliographic Details
Main Author: Salam, Md. Sah
Format: Thesis
Published: 2010
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-utm-ep.9284
record_format uketd_dc
spelling my-utm-ep.92842014-01-07T07:46:18Z A fusion between divergence algorithm and back propagation neural network for segmentation of connected speech 2010 Salam, Md. Sah QA75 Electronic computers. Computer science Fakulti Pendidikan, UTM 2010 Thesis http://eprints.utm.my/id/eprint/9284/ phd doctoral Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic QA75 Electronic computers
Computer science
spellingShingle QA75 Electronic computers
Computer science
Salam, Md. Sah
A fusion between divergence algorithm and back propagation neural network for segmentation of connected speech
description
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Salam, Md. Sah
author_facet Salam, Md. Sah
author_sort Salam, Md. Sah
title A fusion between divergence algorithm and back propagation neural network for segmentation of connected speech
title_short A fusion between divergence algorithm and back propagation neural network for segmentation of connected speech
title_full A fusion between divergence algorithm and back propagation neural network for segmentation of connected speech
title_fullStr A fusion between divergence algorithm and back propagation neural network for segmentation of connected speech
title_full_unstemmed A fusion between divergence algorithm and back propagation neural network for segmentation of connected speech
title_sort fusion between divergence algorithm and back propagation neural network for segmentation of connected speech
granting_institution Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department Faculty of Computer Science and Information System
publishDate 2010
_version_ 1747814728451751936