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Communication Dans Un Congrès Année : 2008

ALIZE/SpkDet: a state-of-the-art open source software for speaker recognition

Résumé

This paper presents the ALIZE/SpkDet open source software packages for text independent speaker recognition. This software is based on the well-known UBM/GMM approach. It includes also the latest speaker recognition developments such as Latent Factor Analysis (LFA) and unsupervised adaptation. Discriminant classifiers such as SVM supervectors are also provided , linked with the Nuisance Attribute Projection (NAP). The software performance is demonstrated within the framework of the NIST'06 SRE evaluation campaign. Several other applications like speaker diarization, embedded speaker recognition , password dependent speaker recognition and pathological voice assessment are also presented.
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Dates et versions

hal-01312982 , version 1 (19-11-2018)

Identifiants

  • HAL Id : hal-01312982 , version 1

Citer

Jean-François Bonastre, Nicolas Scheffer, Driss Matrouf, Corinne Fredouille, Anthony Larcher, et al.. ALIZE/SpkDet: a state-of-the-art open source software for speaker recognition. Odyssey 2008: The Speaker and Language Recognition Workshop, Jan 2008, Stellenbosch, South Africa. ⟨hal-01312982⟩

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