Texto completo
Vista Previa |
PDF (Portable Document Format)
- Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (1MB) | Vista Previa |
Gómez Vilda, Pedro ORCID: https://orcid.org/0000-0003-3283-378X, San Segundo, Eugenia, Mazaira Fernández, Luis Miguel, Álvarez Marquina, Agustín ORCID: https://orcid.org/0000-0002-6106-6711 and Rodellar Biarge, M. Victoria ORCID: https://orcid.org/0000-0001-9384-3290 (2014). Using dysphonic voice to characterize speaker's biometry. "Language and Law / Linguagem e Direito", v. 1 (n. 2); pp. 42-66. ISSN 2183-3745.
Título: | Using dysphonic voice to characterize speaker's biometry |
---|---|
Autor/es: |
|
Tipo de Documento: | Artículo |
Título de Revista/Publicación: | Language and Law / Linguagem e Direito |
Fecha: | 2014 |
ISSN: | 2183-3745 |
Volumen: | 1 |
Materias: | |
Palabras Clave Informales: | Phonation; Speaker Recognition; Voice Production; Speech Processing |
Escuela: | E.T.S. de Ingenieros Informáticos (UPM) |
Departamento: | Arquitectura y Tecnología de Sistemas Informáticos |
Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Vista Previa |
PDF (Portable Document Format)
- Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (1MB) | Vista Previa |
Phonation distortion leaves relevant marks in a speaker's biometric profile. Dysphonic voice production may be used for biometrical speaker characterization. In the present paper phonation features derived from the glottal source (GS) parameterization, after vocal tract inversion, is proposed for dysphonic voice characterization in Speaker Verification tasks. The glottal source derived parameters are matched in a forensic evaluation framework defining a distance-based metric specification. The phonation segments used in the study are derived from fillers, long vowels, and other phonation segments produced in spontaneous telephone conversations. Phonated segments from a telephonic database of 100 male Spanish native speakers are combined in a 10-fold cross-validation task to produce the set of quality measurements outlined in the paper. Shimmer, mucosal wave correlate, vocal fold cover biomechanical parameter unbalance and a subset of the GS cepstral profile produce accuracy rates as high as 99.57 for a wide threshold interval (62.08-75.04%). An Equal Error Rate of 0.64 % can be granted. The proposed metric framework is shown to behave more fairly than classical likelihood ratios in supporting the hypothesis of the defense vs that of the prosecution, thus ofering a more reliable evaluation scoring. Possible applications are Speaker Verification and Dysphonic Voice Grading.
ID de Registro: | 40910 |
---|---|
Identificador DC: | https://oa.upm.es/40910/ |
Identificador OAI: | oai:oa.upm.es:40910 |
URL Oficial: | https://ojs.letras.up.pt/index.php/LLLD/article/vi... |
Depositado por: | Memoria Investigacion |
Depositado el: | 26 Oct 2016 11:09 |
Ultima Modificación: | 05 Jun 2019 17:21 |