Publication year
2020Author(s)
Publisher
[S.l.] : [S.n.]
ISBN
9789039372708
Number of pages
206 p.
Related links
Annotation
Utrecht University, 14 april 2020
Promotores : Ramsey, N.F., Gerven, M.A.J. van Co-promotor : Freudenburg, Z.V.
Publication type
Dissertation

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Organization
SW OZ DCC AI
Languages used
English (eng)
Subject
Cognitive artificial intelligence; Language in InteractionAbstract
In this thesis, we use data-driven techniques in an attempt to explain the neural data during speech and language perception in unconstrained naturalistic setup. We aim to use a combination of data exploration approaches and data-driven feature extraction models to provide a more bottom-up way of studying the neural responses. We hope that these data-driven strategies can confirm some of the previous theory-based neurolinguistic findings but at the same time offer new insight regarding how the human brain processes speech related information.
Subsidient
NWO (Grant code:info:eu-repo/grantAgreement/NWO/Gravitation/024.001.006)
This item appears in the following Collection(s)
- Non RU Publications [14895]
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