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Glottal Parameter Estimation by Wavelet Transform for Voice Biometry
Cita
Gómez Vilda, Pedro 
ORCID: https://orcid.org/0000-0003-3283-378X, Muñoz Mulas, Cristina, Mazaira Fernández, Luis Miguel, Rodellar Biarge, M. Victoria ORCID: https://orcid.org/0000-0001-9384-3290, Martínez Olalla, Rafael ORCID: https://orcid.org/0000-0003-2336-9145 and Álvarez Marquina, Agustín ORCID: https://orcid.org/0000-0002-3387-6709
(2011).
Glottal Parameter Estimation by Wavelet Transform for Voice Biometry.
En: "2011 IEEE International Carnahan Conference on Security Technology (ICCST)", 18/10/2011 - 21/10/2011, Barcelona, España. ISBN 978-1-4577-0902-9.
ORCID: https://orcid.org/0000-0003-3283-378X, Muñoz Mulas, Cristina, Mazaira Fernández, Luis Miguel, Rodellar Biarge, M. Victoria ORCID: https://orcid.org/0000-0001-9384-3290, Martínez Olalla, Rafael ORCID: https://orcid.org/0000-0003-2336-9145 and Álvarez Marquina, Agustín ORCID: https://orcid.org/0000-0002-3387-6709
(2011).
Glottal Parameter Estimation by Wavelet Transform for Voice Biometry.
En: "2011 IEEE International Carnahan Conference on Security Technology (ICCST)", 18/10/2011 - 21/10/2011, Barcelona, España. ISBN 978-1-4577-0902-9.
Descripción
| Título: | Glottal Parameter Estimation by Wavelet Transform for Voice Biometry |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 2011 IEEE International Carnahan Conference on Security Technology (ICCST) |
| Fechas del Evento: | 18/10/2011 - 21/10/2011 |
| Lugar del Evento: | Barcelona, España |
| Título del Libro: | Proceedings of 2011 IEEE International Carnahan Conference on Security Technology (ICCST) |
| Fecha: | 2011 |
| ISBN: | 978-1-4577-0902-9 |
| Materias: | |
| ODS: | |
| Escuela: | Facultad de Informática (UPM) [antigua denominación] |
| Departamento: | Arquitectura y Tecnología de Sistemas Informáticos |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
Voice biometry is classically based on the parameterization and patterning of speech features mainly. The present approach is based on the characterization of phonation features instead (glottal features). The intention is to reduce intra-speaker variability due to the `text'. Through the study of larynx biomechanics it may be seen that the glottal correlates constitute a family of 2-nd order gaussian wavelets. The methodology relies in the extraction of glottal correlates (the glottal source) which are parameterized using wavelet techniques. Classification and pattern matching was carried out using Gaussian Mixture Models. Data of speakers from a balanced database and NIST SRE HASR2 were used in verification experiments. Preliminary results are given and discussed.
Más información
| ID de Registro: | 13606 |
|---|---|
| Identificador DC: | https://oa.upm.es/13606/ |
| Identificador OAI: | oai:oa.upm.es:13606 |
| URL Oficial: | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 21 Nov 2012 11:57 |
| Ultima Modificación: | 19 Feb 2025 12:30 |
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