Similarity Match (SM) technique for the development of client barcode
A hybrid neural network is proposed for speaker verification (SV). The basic idea in this system is the usage of vector quantization preprocessing as the feature extractor. The experiments were carried out using a neural network model (NNM) with frame labeling performed from a client codebook known...
Saved in:
Main Author: | Salleh, Sh-Hussain |
---|---|
Format: | Article |
Language: | English |
Published: |
2000
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/1982/1/ShaikhHusin2000_SimilarityMatch%28SM%29TechniqueForThe.pdf http://eprints.utm.my/id/eprint/1982/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Tracking of tissue movement using distance-weighted log ratio similarity matching algorithm
by: Rohana, Abdul Karim, et al.
Published: (2018) -
Barcode recognition system
by: Hashim, N M Z, et al.
Published: (2013) -
Thresholding analysis on barcode image
by: Omar, Norsyira Zuraiza
Published: (2010) -
Review on the barcode technology of android application development for GST products database system
by: Zainal, Fathiah, et al.
Published: (2015) -
Speaker adaptation based on cross match technique
by: Ibrahim @ Ahmad, Ahmad Kamarul Ariff
Published: (2008)