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Glottal Source Cepstrum Coefficients Applied to NIST SRE 2010
Cita
Mazaira Fernández, Luis Miguel, Álvarez Marquina, Agustín 
ORCID: https://orcid.org/0000-0002-3387-6709, Gómez Vilda, Pedro ORCID: https://orcid.org/0000-0003-3283-378X, Martínez Olalla, Rafael ORCID: https://orcid.org/0000-0003-2336-9145 and Muñoz, Cristina
(2010).
Glottal Source Cepstrum Coefficients Applied to NIST SRE 2010.
En: "V Jornadas de Reconocimiento Biométrico de Personas JRBP10", 02/09/2010 - 03/09/2010, Huesca, España.
ORCID: https://orcid.org/0000-0002-3387-6709, Gómez Vilda, Pedro ORCID: https://orcid.org/0000-0003-3283-378X, Martínez Olalla, Rafael ORCID: https://orcid.org/0000-0003-2336-9145 and Muñoz, Cristina
(2010).
Glottal Source Cepstrum Coefficients Applied to NIST SRE 2010.
En: "V Jornadas de Reconocimiento Biométrico de Personas JRBP10", 02/09/2010 - 03/09/2010, Huesca, España.
Descripción
| Título: | Glottal Source Cepstrum Coefficients Applied to NIST SRE 2010 |
|---|---|
| Autor/es: |
|
| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | V Jornadas de Reconocimiento Biométrico de Personas JRBP10 |
| Fechas del Evento: | 02/09/2010 - 03/09/2010 |
| Lugar del Evento: | Huesca, España |
| Título del Libro: | Actas de las V Jornadas de Reconocimiento Biométrico de Personas JRBP10 |
| Fecha: | 2010 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Glotal Source, Speaker Characterization, Speaker Recognition, GMM, Speech production, NIST SRE 2010 |
| Escuela: | Facultad de Informática (UPM) [antigua denominación] |
| Departamento: | Arquitectura y Tecnología de Sistemas Informáticos |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
Through the present paper, a novel feature set for speaker recognition based on glottal estimate information is presented. An iterative algorithm is used to derive the vocal tract and glottal source estimations from speech signal. In order to test the importance of glottal source information in speaker characterization, the novel feature set has been tested in the 2010 NIST Speaker Recognition Evaluation (NIST SRE10). The proposed system uses glottal estimate parameter templates and classical cepstral information to build a model for each speaker involved in the recognition process. ALIZE [1] open-source software has been used to create the GMM models for both background and target speakers. Compared to using mel-frequency cepstrum coefficients (MFCC), the misclassification rate for the NIST SRE 2010 reduced from 29.43% to 27.15% when glottal source features are used
Más información
| ID de Registro: | 7905 |
|---|---|
| Identificador DC: | https://oa.upm.es/7905/ |
| Identificador OAI: | oai:oa.upm.es:7905 |
| URL Oficial: | http://jrbp10.unizar.es/ |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 27 Jul 2011 11:35 |
| Ultima Modificación: | 19 Feb 2025 12:30 |
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