A Proposed Speaker Recognition Method Based on Long-Term Voice Features and Fuzzy Logic

Speaker recognition depends on specific predefined steps. The most important steps are feature extraction and features matching. In addition, the category of the speaker voice features has an impact on the recognition process. The proposed speaker recognition makes use of biometric (voice) attribute...

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Main Authors: Iman H. Hadi, Alia K. Abdul-Hassan
Format: Article
Language:English
Published: Unviversity of Technology- Iraq 2021-03-01
Series:Engineering and Technology Journal
Subjects:
Online Access:https://etj.uotechnology.edu.iq/article_168146_996f70bfa235ce83ecacf60c033c0324.pdf
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author Iman H. Hadi
Alia K. Abdul-Hassan
author_facet Iman H. Hadi
Alia K. Abdul-Hassan
author_sort Iman H. Hadi
collection DOAJ
description Speaker recognition depends on specific predefined steps. The most important steps are feature extraction and features matching. In addition, the category of the speaker voice features has an impact on the recognition process. The proposed speaker recognition makes use of biometric (voice) attributes to recognize the identity of the speaker. The long-term features were used such that maximum frequency, pitch and zero crossing rate (ZCR). In features matching step, the fuzzy inner product was used between feature vectors to compute the matching value between a claimed speaker voice utterance and test voice utterances. The experiments implemented using (ELSDSR) data set. These experiments showed that the recognition accuracy is 100% when using text dependent speaker recognition.
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spelling doaj.art-fba19734afa344f597277da166489ba02024-02-01T07:17:18ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582021-03-01391B11010.30684/etj.v39i1B.343168146A Proposed Speaker Recognition Method Based on Long-Term Voice Features and Fuzzy LogicIman H. Hadi0Alia K. Abdul-Hassan1GSCOM, Baghdad, Iraq. iman.h.1439@gmail.com.Computer Sciences Department, University of Technology, Baghdad, Iraq. 110018@uotechnology.edu.iq.Speaker recognition depends on specific predefined steps. The most important steps are feature extraction and features matching. In addition, the category of the speaker voice features has an impact on the recognition process. The proposed speaker recognition makes use of biometric (voice) attributes to recognize the identity of the speaker. The long-term features were used such that maximum frequency, pitch and zero crossing rate (ZCR). In features matching step, the fuzzy inner product was used between feature vectors to compute the matching value between a claimed speaker voice utterance and test voice utterances. The experiments implemented using (ELSDSR) data set. These experiments showed that the recognition accuracy is 100% when using text dependent speaker recognition.https://etj.uotechnology.edu.iq/article_168146_996f70bfa235ce83ecacf60c033c0324.pdfspeaker identityvoicefrequency featuresfuzzy vector
spellingShingle Iman H. Hadi
Alia K. Abdul-Hassan
A Proposed Speaker Recognition Method Based on Long-Term Voice Features and Fuzzy Logic
Engineering and Technology Journal
speaker identity
voice
frequency features
fuzzy vector
title A Proposed Speaker Recognition Method Based on Long-Term Voice Features and Fuzzy Logic
title_full A Proposed Speaker Recognition Method Based on Long-Term Voice Features and Fuzzy Logic
title_fullStr A Proposed Speaker Recognition Method Based on Long-Term Voice Features and Fuzzy Logic
title_full_unstemmed A Proposed Speaker Recognition Method Based on Long-Term Voice Features and Fuzzy Logic
title_short A Proposed Speaker Recognition Method Based on Long-Term Voice Features and Fuzzy Logic
title_sort proposed speaker recognition method based on long term voice features and fuzzy logic
topic speaker identity
voice
frequency features
fuzzy vector
url https://etj.uotechnology.edu.iq/article_168146_996f70bfa235ce83ecacf60c033c0324.pdf
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