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Figuring out what we have been told: Speech reconstruction from electroencephalography (EEG) data

dc.contributor.advisorLalor Edmund C.
dc.contributor.authorOrtiz Barajas Maria Clemencia
dc.date.accessioned2017-07-09T13:26:01Z
dc.date.available2017-07-09T13:26:01Z
dc.date.issued2015-08-07
dc.identifierKOS-587864356405
dc.identifier.urihttp://hdl.handle.net/10467/72516
dc.description.abstractPrevious studies have shown that it is possible to reconstruct speech fromintracranial recordings of the brainactivity of the listeners. However the use of invasive recording techniques is limited to animals, and to humans who are undergoing certain clinical treatments. To explore the feasibility of performing speech reconstruction with non-invasive neural recordings, we have measured the brain activity of subjects who listened to samples of continuous natural speech using a technique called electroencephalography (EEG). In the past, EEG studies have focused on the reconstruction of the speech envelope, but to dat e, itis unknown if EEG data reflectmore speech features than just the envelope tracking. To explore if the EEG recordings are sensitive to the spectrotemporal features of speech, we have designed a series of tests to investigate how much phonetic information can be recovered from the reconstructions of the speech spectrogramthat were estimated fromthose recordings. Our results show that spectrogramreconstructions from EEG data contain enough spectrotemporal features to allow for the discriminationof consonants and non-consonants, and for the identification of averaged representationsof certain phonemes. These results indicate that EEG recordings are sensitive to more than just thetracking of the speech envelope, and that the features contained in them could allow for the estimation of its phonetic content.cze
dc.description.abstractPrevious studies have shown that it is possible to reconstruct speech fromintracranial recordings of the brainactivity of the listeners. However the use of invasive recording techniques is limited to animals, and to humans who are undergoing certain clinical treatments. To explore the feasibility of performing speech reconstruction with non-invasive neural recordings, we have measured the brain activity of subjects who listened to samples of continuous natural speech using a technique called electroencephalography (EEG). In the past, EEG studies have focused on the reconstruction of the speech envelope, but to dat e, itis unknown if EEG data reflectmore speech features than just the envelope tracking. To explore if the EEG recordings are sensitive to the spectrotemporal features of speech, we have designed a series of tests to investigate how much phonetic information can be recovered from the reconstructions of the speech spectrogramthat were estimated fromthose recordings. Our results show that spectrogramreconstructions from EEG data contain enough spectrotemporal features to allow for the discriminationof consonants and non-consonants, and for the identification of averaged representationsof certain phonemes. These results indicate that EEG recordings are sensitive to more than just thetracking of the speech envelope, and that the features contained in them could allow for the estimation of its phonetic content.eng
dc.language.isoENG
dc.publisherČeské vysoké učení technické v Praze. Vypočetní a informační centrum.cze
dc.publisherCzech Technical University in Prague. Computing and Information Centre.eng
dc.rightsA university thesis is a work protected by the Copyright Act. Extracts, copies and transcripts of the thesis are allowed for personal use only and at one?s own expense. The use of thesis should be in compliance with the Copyright Act http://www.mkcr.cz/assets/autorske-pravo/01-3982006.pdf and the citation ethics http://knihovny.cvut.cz/vychova/vskp.html.eng
dc.rightsVysokoškolská závěrečná práce je dílo chráněné autorským zákonem. Je možné pořizovat z něj na své náklady a pro svoji osobní potřebu výpisy, opisy a rozmnoženiny. Jeho využití musí být v souladu s autorským zákonem http://www.mkcr.cz/assets/autorske-pravo/01-3982006.pdf a citační etikou http://knihovny.cvut.cz/vychova/vskp.html.cze
dc.subjectEEG,phoneme identification,phonetic encoding,speech reconstructioncze
dc.subjectEEG,phoneme identification,phonetic encoding,speech reconstructioneng
dc.titleOvěření toho, co nám bylo řečeno: Rekonstrukce řeči z elektroencefalografických (EEG) datcze
dc.titleFiguring out what we have been told: Speech reconstruction from electroencephalography (EEG) dataeng
dc.typeMAGISTERSKÁ PRÁCEcze
dc.typeMASTER'S THESISeng
dc.date.accepted2015-12-09
dc.contributor.refereeKrajča Vladimír
theses.degree.disciplineBiomedicínské inženýrstvícze
theses.degree.grantorkatedra biomedicínské technikycze
theses.degree.programmeBiomedicínská a klinická technika (studium v angličtině)cze


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