Zobrazeno 1 - 9
of 9
pro vyhledávání: '"István Szekrényes"'
Autor:
István Szekrényes
Publikováno v:
Frontiers in Psychology, Vol 10 (2019)
Researchers of behavioral science often work with time-aligned annotation data based on video and/or audio recordings. Various platforms are available to process these data, offering various kinds and ways of data analysis. It often happens that one
Externí odkaz:
https://doaj.org/article/643ac8dc231e4a1895c5b1dc3abb0d1d
Autor:
Laszlo Hunyadi, István Szekrényes
The general focus of this book is on multimodal communication, which captures the temporal patterns of behavior in various dialogue settings. After an overview of current theoretical models of verbal and nonverbal communication cues, it presents stud
Autor:
György Kovács, István Szekrényes
Publikováno v:
Speech and Computer ISBN: 9783319664286
SPECOM
SPECOM
Here, we introduce a classification method for distinguishing between formal and informal dialogues using feature sets based on prosodic data. One such feature set is the raw fundamental frequency values paired with speaker information (i.e. turn-tak
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c4f0c5f6cd25283c56a7334f2a74745
https://doi.org/10.1007/978-3-319-66429-3_22
https://doi.org/10.1007/978-3-319-66429-3_22
Autor:
István Szekrényes
Publikováno v:
Journal on Multimodal User Interfaces. 8:143-150
Prosody is an important component of multimodal communication. Appropriate interpretation of speech would be less effective and sometimes impossible without the information expressed by prosodic features. Complementing other sources of information, c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20bbb2ff8e17054f38d080b792fe1e9d
https://doi.org/10.1007/s12193-013-0140-1
https://doi.org/10.1007/s12193-013-0140-1
Publikováno v:
Toward Robotic Socially Believable Behaving Systems-Volume I ISBN: 9783319310558
The multimodal HuComTech corpus aims at annotating, studying and publishing data related to a wide spectrum of markers of human behavior in human-human spoken dialogues. By doing so the final goal is to both understand human cognitive behavior in con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38c121b6228777cc8d7c28e6f4762429
https://doi.org/10.1007/978-3-319-31056-5_10
https://doi.org/10.1007/978-3-319-31056-5_10
Autor:
István Szekrényes
Publikováno v:
2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom).
ProsoTool is a computer algorithm implemented as a Praat script for the automatic annotation of certain prosodic features in recorded dialogs. The tool was developed in the framework of the HuComTech project. The current version aims at making the ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::732862d2bfd0a49cf65e54e18098a62d
https://doi.org/10.1109/coginfocom.2015.7390606
https://doi.org/10.1109/coginfocom.2015.7390606
Publikováno v:
Intelligent Decision Technology Support in Practice ISBN: 9783319212081
What may eventually connect engineers and linguists most is their common interest in language, more specifically language technology: engineers build more and more intelligent robots desirably communicating with humans through language. Linguists wis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9281387ac101f7238380e1f3fb7cbf0
https://doi.org/10.1007/978-3-319-21209-8_14
https://doi.org/10.1007/978-3-319-21209-8_14
Autor:
G. Esfandiari Baiat, István Szekrényes
Publikováno v:
2012 IEEE 3rd International Conference on Cognitive Infocommunications (CogInfoCom).
Speech is considered as the most dominant way for people to interact with each other. But speech cannot be merely characterized as sequence of sound units. There are some non-verbal elements, such as prosodic cues, that lend naturalness to speech. Pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b2021a99c9e395051f8b33777d352ec
https://doi.org/10.1109/coginfocom.2012.6422037
https://doi.org/10.1109/coginfocom.2012.6422037
Publikováno v:
2012 IEEE 3rd International Conference on Cognitive Infocommunications (CogInfoCom).
The HuComTech project at the University of Debrecen aims at studying and better understanding the multimodal properties of human-human communication both in order to build more user-friendly human-machine interaction systems and to assist a more succ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6c25fcaf1492db8efd0214c4f78417a
https://doi.org/10.1109/coginfocom.2012.6422039
https://doi.org/10.1109/coginfocom.2012.6422039