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dc.contributor.authorGonzález López, José Andrés 
dc.contributor.authorGómez Alanís, Alejandro
dc.contributor.authorMartín Doñas, Juan M.
dc.contributor.authorPérez Córdoba, José Luis 
dc.contributor.authorGómez, Ángel M.
dc.date.accessioned2020-11-04T13:12:28Z
dc.date.available2020-11-04T13:12:28Z
dc.date.issued2020-09-24
dc.identifier.citationJ. A. Gonzalez-Lopez, A. Gomez-Alanis, J. M. Martín Doñas, J. L. Pérez-Córdoba and A. M. Gomez, "Silent Speech Interfaces for Speech Restoration: A Review," in IEEE Access, vol. 8, pp. 177995-178021, 2020, [doi: 10.1109/ACCESS.2020.3026579]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/64058
dc.descriptionThis work was supported in part by the Agencia Estatal de Investigacion (AEI) under Grant PID2019-108040RB-C22/AEI/10.13039/501100011033. The work of Jose A. Gonzalez-Lopez was supported in part by the Spanish Ministry of Science, Innovation and Universities under Juan de la Cierva-Incorporation Fellowship (IJCI-2017-32926).es_ES
dc.description.abstractThis review summarises the status of silent speech interface (SSI) research. SSIs rely on non-acoustic biosignals generated by the human body during speech production to enable communication whenever normal verbal communication is not possible or not desirable. In this review, we focus on the first case and present latest SSI research aimed at providing new alternative and augmentative communication methods for persons with severe speech disorders. SSIs can employ a variety of biosignals to enable silent communication, such as electrophysiological recordings of neural activity, electromyographic (EMG) recordings of vocal tract movements or the direct tracking of articulator movements using imaging techniques. Depending on the disorder, some sensing techniques may be better suited than others to capture speech-related information. For instance, EMG and imaging techniques are well suited for laryngectomised patients, whose vocal tract remains almost intact but are unable to speak after the removal of the vocal folds, but fail for severely paralysed individuals. From the biosignals, SSIs decode the intended message, using automatic speech recognition or speech synthesis algorithms. Despite considerable advances in recent years, most present-day SSIs have only been validated in laboratory settings for healthy users. Thus, as discussed in this paper, a number of challenges remain to be addressed in future research before SSIs can be promoted to real-world applications. If these issues can be addressed successfully, future SSIs will improve the lives of persons with severe speech impairments by restoring their communication capabilities.es_ES
dc.description.sponsorshipAgencia Estatal de Investigacion (AEI) PID2019-108040RB-C22/AEI/10.13039/501100011033es_ES
dc.description.sponsorshipSpanish Ministry of Science, Innovation and Universities under Juan de la Cierva-Incorporation Fellowship IJCI-2017-32926es_ES
dc.language.isoenges_ES
dc.publisherIEEEes_ES
dc.rightsAtribución 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectSilent speech interfacees_ES
dc.subjectSpeech restorationes_ES
dc.subjectAutomatic speech recognition es_ES
dc.subjectSpeech synthesises_ES
dc.subjectDeep neural networkses_ES
dc.subjectBrain-computer interfacees_ES
dc.subjectSpeech and language disorderses_ES
dc.subjectVoice disorders es_ES
dc.subjectElectroencephalography es_ES
dc.subjectElectromyography es_ES
dc.subjectElectromagnetic articulographyes_ES
dc.titleSilent Speech Interfaces for Speech Restoration: A Reviewes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.1109/ACCESS.2020.3026579
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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Atribución 3.0 España
Except where otherwise noted, this item's license is described as Atribución 3.0 España