Topological voiceprints for speaker identification

Despite its noninvasive nature, subject identification by voice is not as popular as other biometric procedures (i.e. fingerprinting). In part, this is due to the difficulty of establishing how close is close enough when comparing spectral features. In this work, we address this issue by showing how...

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Detalles Bibliográficos
Autores principales: Trevisan, Marcos Alberto, Eguia, Manuel Camilo
Publicado: 2005
Materias:
Biometrics
Speaker recognition
Topological indexes
Deformation
Ergonomics
Integer programming
Modulation
Oscillations
Pressure effects
Cross-counting algorithms
Power spectrum
Speech segments
Voiceprints
Spectrum analysis
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01672789_v200_n1-2_p75_Trevisan
http://hdl.handle.net/20.500.12110/paper_01672789_v200_n1-2_p75_Trevisan
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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