Vasileios Vasilakakis

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1. Abstract Most state–of–the–art speaker recognition systems are based on Gaussian Mixture Models (GMMs), where a speech segment is represented by a compact representation, referred to as " identity vector " (ivector for short), extracted by means of Factor Analysis. The main advantage of this representation is that the problem of intersession variability(More)
Porto, the institutional repository of the Politecnico di Torino, is provided by the University Library and the IT-Services. The aim is to enable open access to all the world. Please share with us how this access benefits you. Your story matters. Publisher copyright claim: c 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be(More)
Porto, the institutional repository of the Politecnico di Torino, is provided by the University Library and the IT-Services. The aim is to enable open access to all the world. Please share with us how this access benefits you. Your story matters. Abstract This paper focuses on the extraction of i-vectors, a compact representation of spoken utterances that(More)
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