OTKA-116402

Kovács, G., Szekrényes, I.: Applying Neural Network Techniques for Topic Change Detection in the HuComTech Corpus.
In: The Temporal Structure of Multimodal Communication: Theory, Methods and Applications. Ed.: Hunyadi László, Szekrényes István, Springer International Publishing Ag, Cham, 147-162, 2019. ISBN: 9783030228941

Hunyadi, L., Váradi, T., Kovács, G., Szekrényes, I., Kiss, H., Takács, K.: Human-human, human-machine communication: on the HuComTech multimodal corpus.
In: Selected papers from the CLARIN Annual Conference 2018. Ed.: Inguna Skadina, Maria Eskevich, Linköping University Electronic Press, Linköping, 56-65, 2018, (Linköping Electronic Conference Proceedings, ISSN 1650-3686) ISBN: 9789176850343

Szekrényes, I., Kovács, G.: Classification of Formal and Informal Dialogues Based on Turn-Taking and Intonation Using Deep Neural Networks.
In: Speech and Computer : 19th International Conference, SPECOM 2017: Proceedings. Ed.: Alexey Karpov, Rodmonga Potapova, Iosif Mporas, Springer International Publishing Ag, Cham, 233-243, 2017. ISBN: 9783319664286

Kornai, A., Szekrényes, I.: e-Magyar beszédarchívum.
In: XIII. Magyar Számítógépes Nyelvészeti Konferencia (MSZNY2017). Szerk.: Vincze Veronika, Szegedi Tudományegyetem, Szeged, 103-109, 2017. ISBN: 9789633065181

Hunyadi, L., Váradi, T., Szekrényes, I.: Language technology tools and resources for the analysis of multimodal communication.
In: Proceedings of the Workshop on Language Technology Resources and Tools for Digital Humanities (LT4DH). Ed.: Erhard Hinrichs, Marie Hinrichs, Thorsten Trippel, University of Tübingen, Tübingen, 117-124, 2016. ISBN: 9784879747082

Hunyadi, L., Szekrényes, I., Kiss, H.: Prosody Enhances Cognitive Infocommunication: materials from the HuComTech Corpus.
In: Toward Robotic Socially Believable Behaving Systems. Vol. I : Modeling Emotions. Ed.: Anna Esposito, Lakhmi C. Jain, Springer International Publishing Ag, Cham, 183-204, 2016. ISBN: 9783319310565