---
abstract: 'In this paper, an improved strategy for automated text dependent speaker identification system has been proposed in noisy environment. The identification process incorporates the Neuro-Genetic hybrid algorithm with cepstral based features. To remove the background noise from the source utterance, wiener filter has been used. Different speech pre-processing techniques such as start-end point detection algorithm, pre-emphasis filtering, frame blocking and windowing have been used to process the speech utterances. RCC, MFCC, ?MFCC, ??MFCC, LPC and LPCC have been used to extract the features. After feature extraction of the speech, Neuro-Genetic hybrid algorithm has been used in the learning and identification purposes. Features are extracted by using different techniques to optimize the performance of the identification. According to the VALID speech database, the highest speaker identification rate of 100.000% for studio environment and 82.33% for office environmental conditions have been achieved in the close set text dependent speaker identification system.'
altloc:
- http://ijcsi.org/papers/1-42-48.pdf
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creators_name:
- family: Islam
given: Md. Rabiul
honourific: ''
lineage: ''
- family: Rahman
given: Md. Fayzur
honourific: ''
lineage: ''
date: 2009-08
date_type: published
datestamp: 2009-11-14 11:35:55
department: ~
dir: disk0/00/00/66/88
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eprint_status: archive
eprintid: 6688
fileinfo: /style/images/fileicons/application_pdf.png;/6688/1/1%2D42%2D48.pdf
full_text_status: public
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keywords: 'Bio-informatics, Robust Speaker Identification, Speech Signal Pre-processing, Neuro-Genetic Hybrid Algorithm'
lastmod: 2011-03-11 08:57:31
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longitude: ~
metadata_visibility: show
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publication: 'Md. R. Islam and Md. F. Rahman, "Improvement of Text Dependent Speaker Identification System Using Neuro-Genetic Hybrid Algorithm in Office Environmental Conditions", International Journal of Computer Science Issues, IJCSI, Volume 1, pp42-48, August 2009'
publisher: 'International Journal of Computer Science Issues, IJCSI'
refereed: TRUE
referencetext: ~
relation_type: []
relation_uri: []
reportno: ~
rev_number: 20
series: ~
source: ~
status_changed: 2009-11-14 11:35:55
subjects:
- comp-sci-art-intel
succeeds: ~
suggestions: ~
sword_depositor: ~
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thesistype: ~
title: Improvement of Text Dependent Speaker Identification System Using Neuro-Genetic Hybrid Algorithm in Office Environmental Conditions
type: journalp
userid: 9478
volume: 1