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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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 |
_version_ |
1717768180545355776 |