Speaker Recognition in Uncontrolled Environment: A Review

Speaker recognition has been an active research area for many years. Methods to represent and quantify information embedded in speech signal are termed as features of the signal. The features are obtained, modeled and stored for further reference when the system is to be tested. Decision whether to...

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Main Authors: Karamangala Narendra, Kumaraswamy Ramaswamy
Format: Article
Language:English
Published: De Gruyter 2013-03-01
Series:Journal of Intelligent Systems
Subjects:
Online Access:https://doi.org/10.1515/jisys-2012-0020
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spelling doaj-da7dbe877acc4ae0b2de9a02887036742021-09-06T19:40:35ZengDe GruyterJournal of Intelligent Systems0334-18602191-026X2013-03-01221496510.1515/jisys-2012-0020Speaker Recognition in Uncontrolled Environment: A ReviewKaramangala Narendra0Kumaraswamy Ramaswamy1BNM Insitute of Technology, Bengaluru, IndiaSiddaganga Institute of Technology, Tumkur, IndiaSpeaker recognition has been an active research area for many years. Methods to represent and quantify information embedded in speech signal are termed as features of the signal. The features are obtained, modeled and stored for further reference when the system is to be tested. Decision whether to accept or reject speakers are taken based on parameters of the data modeling techniques. Real world offers various degradations to the signal that hamper the signal quality. The degradations may be due to ambient background noise, reverberation or multispeaker scenario. This paper presents a survey of various feature extraction, data modeling methods, metrics that are used to take the decisions and methods that can be used to preprocess the degraded data that have been used to perform the task of speaker recognition.https://doi.org/10.1515/jisys-2012-0020speaker recognitionfeature extractionspeaker modeling
collection DOAJ
language English
format Article
sources DOAJ
author Karamangala Narendra
Kumaraswamy Ramaswamy
spellingShingle Karamangala Narendra
Kumaraswamy Ramaswamy
Speaker Recognition in Uncontrolled Environment: A Review
Journal of Intelligent Systems
speaker recognition
feature extraction
speaker modeling
author_facet Karamangala Narendra
Kumaraswamy Ramaswamy
author_sort Karamangala Narendra
title Speaker Recognition in Uncontrolled Environment: A Review
title_short Speaker Recognition in Uncontrolled Environment: A Review
title_full Speaker Recognition in Uncontrolled Environment: A Review
title_fullStr Speaker Recognition in Uncontrolled Environment: A Review
title_full_unstemmed Speaker Recognition in Uncontrolled Environment: A Review
title_sort speaker recognition in uncontrolled environment: a review
publisher De Gruyter
series Journal of Intelligent Systems
issn 0334-1860
2191-026X
publishDate 2013-03-01
description Speaker recognition has been an active research area for many years. Methods to represent and quantify information embedded in speech signal are termed as features of the signal. The features are obtained, modeled and stored for further reference when the system is to be tested. Decision whether to accept or reject speakers are taken based on parameters of the data modeling techniques. Real world offers various degradations to the signal that hamper the signal quality. The degradations may be due to ambient background noise, reverberation or multispeaker scenario. This paper presents a survey of various feature extraction, data modeling methods, metrics that are used to take the decisions and methods that can be used to preprocess the degraded data that have been used to perform the task of speaker recognition.
topic speaker recognition
feature extraction
speaker modeling
url https://doi.org/10.1515/jisys-2012-0020
work_keys_str_mv AT karamangalanarendra speakerrecognitioninuncontrolledenvironmentareview
AT kumaraswamyramaswamy speakerrecognitioninuncontrolledenvironmentareview
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