Štefan Beňuš

Also published as: Stefan Benus, S̆tefan Ben̆us̆


2024

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ART: The Alternating Reading Task Corpus for Speech Entrainment and Imitation
Zheng Byron Yuan | Dorina de Jong | Ruitao Feng | Štefan Beňuš | Noël Nguyen | Róbert Sabo | Luciano Fadiga | Alessandro D’Ausilio
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)

We introduce the Alternating Reading Task (ART) Corpus, a collection of dyadic sentence reading for studying the entrainment and imitation behaviour in speech communication. The ART corpus features three experimental conditions - solo reading, alternating reading, and deliberate imitation - as well as three subcorpora encompassing French-, Italian-, and Slovak-accented English. This design allows systematic investigation of speech entrainment in a controlled and less spontaneous setting. Alongside detailed transcriptions, it includes English proficiency scores, demographics, and in-experiment questionnaires for probing linguistic, personal and interpersonal influences on entrainment. Our presentation covers its design, collection, annotation processes, initial analysis, and future research prospects.

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The Slovak Autistic and Non-Autistic Child Speech Corpus:Task-Oriented Child-Adult Interactions
Joanna Kruyt | Róbert Sabo | Katarína Polónyiová | Daniela Ostatníková | Štefan Beňuš
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)

This paper presents the Slovak Autistic and Non-Autistic Child Speech Corpus, which consists of audio-recordings and transcripts of collaborative, task-oriented conversations between children (with or without autism spectrum disorder, ASD) and a non-autistic adult experimenter. The task used to elicit this corpus was the Maps task. This corpus was primarily recorded to investigate lexical alignment, but can also be used to study other conversation coordination strategies and behaviours. Scores on various standardised psychometric tests, such as those measuring IQ, executive functioning, and theory of mind, are included for each participant. In total, the corpus contains over 15 hours of speech. This relatively large database contains a non-Germanic language and can be shared with any qualified researcher, making it a valuable resource for replication of existing findings regarding communication and ASD as well as future research into communication between individuals with and without ASD.

2023

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Global and local prosodic entrainment in a task-oriented interaction in autistic and neurotypical children
Joanna Kruyt | Katarína Polónyiová | Daniela Ostatníková | Štefan Beňuš
Proceedings of the First Workshop on Connecting Multiple Disciplines to AI Techniques in Interaction-centric Autism Research and Diagnosis (ICARD 2023)

2015

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Acoustic-prosodic entrainment in Slovak, Spanish, English and Chinese: A cross-linguistic comparison
Rivka Levitan | Štefan Beňuš | Agustín Gravano | Julia Hirschberg
Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue

2012

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Affirmative Cue Words in Task-Oriented Dialogue
Agustín Gravano | Julia Hirschberg | Štefan Beňuš
Computational Linguistics, Volume 38, Issue 1 - March 2012

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Acoustic-Prosodic Entrainment and Social Behavior
Rivka Levitan | Agustín Gravano | Laura Willson | S̆tefan Ben̆us̆ | Julia Hirschberg | Ani Nenkova
Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

2011

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Adapting Slovak ASR for native Germans speaking Slovak
Štefan Beňuš | Miloš Cerňak | Sakhia Darjaa | Milan Rusko | Marián Trnka
Proceedings of the First Workshop on Algorithms and Resources for Modelling of Dialects and Language Varieties

2007

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On the role of context and prosody in the interpretation of ‘okay’
Agustín Gravano | Stefan Benus | Héctor Chávez | Julia Hirschberg | Lauren Wilcox
Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics