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    Por favor, use este identificador para citar o enlazar este ítem:http://uvadoc.uva.es/handle/10324/26994

    Título
    Speaker's Gender Detection from Glottal Biometry
    Otros títulos
    IV Jornadas de Reconocimiento Biométrico de Personas
    Autor
    Gómez Vilda, Pedro
    Fernández Baillo, Roberto
    Álvarez Marquina, Agustín
    Mazaira Fernández, Luis Miguel
    Martínez Olalla, Rafael
    Rodellar Biarge, Victoria
    Congreso
    Jornadas de Reconocimiento Biométrico de Personas (4º. 2008. Valladolid)
    Año del Documento
    2008
    Editorial
    Universidad de Valladolid. Escuela Técnica Superior de Ingeniería Informática
    Descripción
    Producción Científica
    Documento Fuente
    González Ferreras, César, Cardeñoso Payo, Valentín y Vivaracho Pascual, Carlos. IV Jornadas de Reconocimiento Biométrico de Personas. Universidad de Valladolid. E.T.S. de Ingeniería Informática, 2008.
    Résumé
    Through the present work a biometric signature of a speaker’s voice is proposed for the detection of the speaker’s gender. The estimation method relies on the extraction of the glottal flow derivative from voice after removing the vocal tract transfer function by inverse filtering. This spectral density is related to the vocal fold cover biomechanics, and it is well known that certain speaker’s features as gender, age or pathologic condition are present in it. For such a database of 100 pathology-free speakers equally balanced in gender and age is used as an experimental framework to draft the results exposed in the work. As the estimated biometric parameters show a certain degree of crosscorrelation Principal Component Analysis (PCA) is used to reduce parameter dimension. The principal components are used in unsupervised k-means clustering of speakers (unsupervised gender detection). The outcome grouping shows an almost complete separation of speakers by gender in terms of the most relevant parameters derived from a statistical dispersion study. Possible applications of the study can be found in forensic acoustics as well as in speaker identification and verification tasks.
    ISBN
    978-84-691-5008-5
    Idioma
    eng
    URI
    http://uvadoc.uva.es/handle/10324/26994
    Derechos
    openAccess
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    • Jornadas de Reconocimiento Biométrico de Personas (4º.2008.Valladolid) [14]
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    Speakers-Gender-Detection.pdf
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    Attribution-NonCommercial-NoDerivatives 4.0 InternationalExcepté là où spécifié autrement, la license de ce document est décrite en tant que Attribution-NonCommercial-NoDerivatives 4.0 International

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