Data Augmentation for Speaker Identification under Stress Conditions to Combat Gender-Based Violence

Rituerto González, Esther; Minguez Sanchez, Alba; Gallardo Antolín, Ascensión; Peláez Moreno, Carmen

Publication:
Data Augmentation for Speaker Identification under Stress Conditions to Combat Gender-Based Violence

dc.affiliation.dpto	UC3M. Departamento de Teoría de la Señal y Comunicaciones	es
dc.affiliation.grupoinv	UC3M. Grupo de Investigación: Procesado Multimedia	es
dc.affiliation.instituto	UC3M. Instituto Universitario de Estudios de Género	es
dc.contributor.author	Rituerto González, Esther
dc.contributor.author	Minguez Sanchez, Alba
dc.contributor.author	Gallardo Antolín, Ascensión
dc.contributor.author	Peláez Moreno, Carmen
dc.contributor.funder	Comunidad de Madrid	es
dc.contributor.funder	Ministerio de Economía y Competitividad (España)	es
dc.date.accessioned	2019-07-05T10:35:17Z
dc.date.available	2019-07-05T10:35:17Z
dc.date.issued	2019-06-04
dc.description	This article belongs to the Special Issue IberSPEECH 2018: Speech and Language Technologies for Iberian Languages	en
dc.description.abstract	A Speaker Identification system for a personalized wearable device to combat gender-based violence is presented in this paper. Speaker recognition systems exhibit a decrease in performance when the user is under emotional or stress conditions, thus the objective of this paper is to measure the effects of stress in speech to ultimately try to mitigate their consequences on a speaker identification task, by using data augmentation techniques specifically tailored for this purpose given the lack of data resources for this condition. An extensive experimentation has been carried out for assessing the effectiveness of the proposed techniques. First, we conclude that the best performance is always obtained when naturally stressed samples are included in the training set, and second, when these are not available, their substitution and augmentation with synthetically generated stress-like samples improves the performance of the system.	en
dc.description.sponsorship	This work is partially supported by the Spanish Government-MinECo project TEC2017-84395-P and Madrid Regional Project Y2018/TCS-5046.	en
dc.format.extent	14
dc.identifier.bibliographicCitation	Rituerto-González, E., Mínguez-Sánchez, A., Gallardo-Antolín, A. y Peláez-Moreno, C. (2019). Data Augmentation for Speaker Identification under Stress Conditions to Combat Gender-Based Violence. Applied Sciences, 9(11), 2298.	en
dc.identifier.doi	https://doi.org/10.3390/app9112298
dc.identifier.issn	2076-3417
dc.identifier.publicationissue	11
dc.identifier.publicationtitle	Applied Sciences	en
dc.identifier.publicationvolume	9
dc.identifier.uri	https://hdl.handle.net/10016/28552
dc.identifier.uxxi	AR/0000023883
dc.language.iso	eng	en
dc.publisher	MDPI	en
dc.relation.projectID	Gobierno de España. TEC2017-84395-P	es
dc.relation.projectID	Comunidad de Madrid. Y2018/TCS-5046	es
dc.rights	© 2019 by the authors. Licensee MDPI, Basel, Switzerland.	en
dc.rights	Atribución 3.0 España	*
dc.rights.accessRights	open access	en
dc.rights.uri	http://creativecommons.org/licenses/by/3.0/es/	*
dc.subject.eciencia	Telecomunicaciones	es
dc.subject.other	Speaker identification	en
dc.subject.other	Emotions	en
dc.subject.other	Stress conditions	en
dc.subject.other	Data augmentation	en
dc.subject.other	Synthetic stress	en
dc.title	Data Augmentation for Speaker Identification under Stress Conditions to Combat Gender-Based Violence	en
dc.type	research article	*
dc.type.hasVersion	VoR	*
dspace.entity.type	Publication