On the use of high-level information in speaker and language recognition
Entidad
UAM. Departamento de Ingeniería InformáticaFecha de edición
2006-11-10Cita
IV Jornadas en Tecnología del Habla. Universidad de Zaragoza. Editado por Luis Buera, Eduardo Lleida, Antonio Miguel y Alfonso Ortega. Zaragoza, 2006. 355-360ISBN
84-96214-82-6Versión del editor
http://jth2006.unizar.es/finals/4jth_128.pdfMaterias
Automatic Speaker Recognition; TelecomunicacionesNota
Actas de las IV Jornadas de Tecnología del Habla (JTH 2006)Derechos
© 2006 Los autoresResumen
Automatic Speaker Recognition systems have been largely dominated by acoustic-spectral based systems, relying in proper modelling of the short-term vocal tract of speakers. However, there is scientific and intuitive evidence that speaker specific
information is embedded in the speech signal in multiple short- and long-term characteristics. In this work, a multilevel speaker recognition system combining acoustic, phonotactic and prosodic subsystems is presented and assessed using NIST 2005 Speaker Recognition Evaluation data.
For language recognition systems, the NIST 2005 Language Recognition Evaluation was selected to measure performance of a high-level language recognition systems.
Lista de ficheros
Google Scholar:Montero-Asenjo, Alberto
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González Domínguez, Javier
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Ramos Castro, Daniel
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López Moreno, Ignacio
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Toledano, Doroteo T.
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González Rodríguez, Joaquín
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