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Relevance of the glottal pulse and the vocal tract in gender detection
Citation
Muñoz Mulas, Cristina, Martínez Olalla, Rafael 
ORCID: https://orcid.org/0000-0003-2336-9145, Gómez Vilda, Pedro ORCID: https://orcid.org/0000-0003-3283-378X, Álvarez Marquina, Agustín ORCID: https://orcid.org/0000-0002-6106-6711 and Mazaira Fernández, Luis Miguel
(2013).
Relevance of the glottal pulse and the vocal tract in gender detection.
In: "VII Jornadas de Reconocimiento Biométrico de Personas", 12-13 Sept. 2013, Zamora, España. pp. 50-57.
Description
| Title: | Relevance of the glottal pulse and the vocal tract in gender detection |
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| Author/s: |
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| Item Type: | Presentation at Congress or Conference (Other) |
| Event Title: | VII Jornadas de Reconocimiento Biométrico de Personas |
| Event Dates: | 12-13 Sept. 2013 |
| Event Location: | Zamora, España |
| Date: | September 2013 |
| Subjects: | |
| Freetext Keywords: | Speech processing; Joint-process estimation; Speaker’s biometry; Contextual speech information |
| Faculty: | E.T.S. de Ingenieros Informáticos (UPM) |
| Department: | Arquitectura y Tecnología de Sistemas Informáticos |
| Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Abstract
Gender detection is a very important objective to improve efficiency in tasks as speech or speaker recognition, among others. Traditionally gender detection has been focused on fundamental frequency (f0) and cepstral features derived from voiced segments of speech. The methodology presented here consists in obtaining uncorrelated glottal and vocal tract components which are parameterized as mel-frequency coefficients. K-fold and cross-validation using QDA and GMM classifiers showed that better detection rates are reached when glottal source and vocal tract parameters are used in a gender-balanced database of running speech from 340 speakers.
More information
| Item ID: | 32181 |
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| DC Identifier: | https://oa.upm.es/32181/ |
| OAI Identifier: | oai:oa.upm.es:32181 |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 14 Oct 2014 10:49 |
| Last Modified: | 25 Apr 2019 15:31 |
