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<dc:title>Speaker's Gender Detection from Glottal Biometry</dc:title>
<dc:creator>Gómez Vilda, Pedro</dc:creator>
<dc:creator>Fernández Baillo, Roberto</dc:creator>
<dc:creator>Álvarez Marquina, Agustín</dc:creator>
<dc:creator>Mazaira Fernández, Luis Miguel</dc:creator>
<dc:creator>Martínez Olalla, Rafael</dc:creator>
<dc:creator>Rodellar Biarge, Victoria</dc:creator>
<dc:description>Producción Científica</dc:description>
<dc:description>Through the present work a biometric signature of a speaker’s voice&#xd;
is proposed for the detection of the speaker’s gender. The estimation method&#xd;
relies on the extraction of the glottal flow derivative from voice after removing&#xd;
the vocal tract transfer function by inverse filtering. This spectral density is&#xd;
related to the vocal fold cover biomechanics, and it is well known that certain&#xd;
speaker’s features as gender, age or pathologic condition are present in it. For&#xd;
such a database of 100 pathology-free speakers equally balanced in gender and&#xd;
age is used as an experimental framework to draft the results exposed in the&#xd;
work. As the estimated biometric parameters show a certain degree of crosscorrelation&#xd;
Principal Component Analysis (PCA) is used to reduce parameter&#xd;
dimension. The principal components are used in unsupervised k-means&#xd;
clustering of speakers (unsupervised gender detection). The outcome grouping&#xd;
shows an almost complete separation of speakers by gender in terms of the&#xd;
most relevant parameters derived from a statistical dispersion study. Possible&#xd;
applications of the study can be found in forensic acoustics as well as in speaker&#xd;
identification and verification tasks.</dc:description>
<dc:date>2017-11-10T11:53:19Z</dc:date>
<dc:date>2017-11-10T11:53:19Z</dc:date>
<dc:date>2008</dc:date>
<dc:type>info:eu-repo/semantics/conferenceObject</dc:type>
<dc:identifier>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.</dc:identifier>
<dc:identifier>978-84-691-5008-5</dc:identifier>
<dc:identifier>http://uvadoc.uva.es/handle/10324/26994</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
<dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 International</dc:rights>
<dc:publisher>Universidad de Valladolid. Escuela Técnica Superior de Ingeniería Informática</dc:publisher>
</ow:Publication>
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