2014 5th IEEE Conference on Cognitive Infocommunications (CogInfoCom) 2014
DOI: 10.1109/coginfocom.2014.7020514
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Emotional speaker verification based on i-vectors

Lenka Mackova
1
,
Anton Čižmár
2
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Cited by 4 publications
(1 citation statement)
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“…Based on our previous experiment [22], where Mahalanobis distance metric showed better result than CSS, we decided to use this only metric to evaluate the recognition system.…”
Section: Testingmentioning
confidence: 99%

A Study of Acoustic Features for Emotional Speaker Recognition in I-Vector Representation

Mackova1,
Čižmár2,
Juhár3
2015
AEI
15
0
2
0
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“…Based on our previous experiment [22], where Mahalanobis distance metric showed better result than CSS, we decided to use this only metric to evaluate the recognition system.…”
Section: Testingmentioning
confidence: 99%

A Study of Acoustic Features for Emotional Speaker Recognition in I-Vector Representation

Mackova1,
Čižmár2,
Juhár3
2015
AEI
15
0
2
0
View full textAdd to dashboardCite
show abstract

Performance Evaluation of Language Identification on Emotional Speech Corpus of Three Indian Languages

Basu
1
,
Majumder
2
2020
Intelligence Enabled Research
2
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3
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Emotional speaker recognition in real life conditions using multiple descriptors and i-vector speaker modeling technique

Mansour
1
,
Chenchah
2
,
Lachiri
3
2018
Multimed Tools Appl
12
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3
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