Native accent classification via i-vectors and speaker compensation fusion

DeMarco, Andrea; Cox, Stephen J.

Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/92542

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DC Field	Value	Language
dc.contributor.author	DeMarco, Andrea	-
dc.contributor.author	Cox, Stephen J.	-
dc.date.accessioned	2022-03-28T15:13:32Z	-
dc.date.available	2022-03-28T15:13:32Z	-
dc.date.issued	2013	-
dc.identifier.citation	DeMarco, A., & Cox, S. J. (2013, May). Native accent classification via i-vectors and speaker compensation fusion. In Interspeech (pp. 1472-1476).	en_GB
dc.identifier.uri	https://www.um.edu.mt/library/oar/handle/123456789/92542	-
dc.description.abstract	We present a comprehensive analysis of the use of I-vector based classifiers for the classification of unlabelled acoustic data as native British accents. We demonstrate the different behaviours of various popular dimensionality reduction techniques that have been previously used in problems such as speaker and language classification. Our results show that a fusion of I-vector based systems gives state-of-the-art performance for unlabelled classification of British accent speech data, reaching ∼81% accuracy	en_GB
dc.language.iso	en	en_GB
dc.publisher	ISCA	en_GB
dc.rights	info:eu-repo/semantics/openAccess	en_GB
dc.subject	Natural language processing (Computer science)	en_GB
dc.subject	Speech processing systems	en_GB
dc.subject	Native language	en_GB
dc.subject	Data structures (Computer science)	en_GB
dc.subject	Dimension reduction (Statistics) -- Data processing	en_GB
dc.subject	Support vector machines	en_GB
dc.subject	Corpora (Linguistics)	en_GB
dc.subject	Discriminant analysis	en_GB
dc.title	Native accent classification via i-vectors and speaker compensation fusion	en_GB
dc.type	conferenceObject	en_GB
dc.rights.holder	The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.	en_GB
dc.bibliographicCitation.conferencename	Conference of the International Speech Communication Association	en_GB
dc.bibliographicCitation.conferenceplace	Lyon, France, 25-29/08/2013	en_GB
dc.description.reviewed	peer-reviewed	en_GB
dc.identifier.doi	10.21437/Interspeech.2013	-
Appears in Collections:	Scholarly Works - InsSSA

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