A multi-step method for speaker identification (Contributo in atti di convegno)

Type
Label
  • A multi-step method for speaker identification (Contributo in atti di convegno) (literal)
Anno
  • 2006-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/IAW.2006.1652127 (literal)
Alternative label
  • M. Savastano; A. Luciano; A. Pagano; B. Peticone, L. Riccardi (2006)
    A multi-step method for speaker identification
    in Information Assurance Workshop, 2006 IEEE, West Point, NY, USA, 21-23 June, 2006
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • M. Savastano; A. Luciano; A. Pagano; B. Peticone, L. Riccardi (literal)
Pagina inizio
  • 393 (literal)
Pagina fine
  • 394 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 2 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • (1) National Research Council of Italy, Institute, of Biostructures and Bioimmages, c/o DIEL, Federico II University of Napoli; (2 and 3) Department of Electronics and Telecommunication (DIET) of the Federico II University of Napoli (italy); (4 and 5) Italian Ministry of the Defeense, VI Reparto of the Segretariato Nazionale delle Difesa, Roma, Italia (literal)
Titolo
  • A multi-step method for speaker identification (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 1-4244-0130-5 (literal)
Abstract
  • In the context of the countermeasures against criminal or terrorist acts, the attribution of identity to a unknown speaker, (for example to an individual talking on a phone line), may play a primary role. Speaker identification (SI) may be performed with or without the human support and, according to this distinction, SI systems are divided in \"semi-automatic\" and \"automatic\" (J. P. Campbell, Sept. 1997). In semi-automatic protocols, the process of identification is carried out by means of electronic instruments with the support of a technician who generally has a linguistic background. Automatic systems do not need human support and may operate in quasi-real-time, and this may represent a feature particularly appealing in some operative scenarios. Obviously, the complexity of automatic systems is relevant and then, generally, complex architectures are required. In the present paper the authors propose a four-classifiers methodology which exhibits some innovative solutions in the context of similar approaches. In particular, a new robust approach to pitch extraction allows to overcome a set of problems generally associated with this task (literal)
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