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Jira: a Kurdish Speech Recognition System Designing and Building Speech Corpus and Pronunciation Lexicon
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In: https://hal.archives-ouvertes.fr/hal-03140680 ; 2021 (2021)
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A Multimodal Model for Predicting Conversational Feedbacks
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In: International Conference on Text, Speech, and Dialogue (TSD ) ; https://hal.archives-ouvertes.fr/hal-03331446 ; International Conference on Text, Speech, and Dialogue (TSD ), 2021, Olomouc, Czech Republic (2021)
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A Multimodal Model for Predicting Conversational Feedbacks
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In: Text, Speech, and Dialogue 24th International Conference, TSD 2021, Olomouc, Czech Republic, September 6–9, 2021, Proceedings ; International Conference on Text, Speech, and Dialogue (TSD ) ; https://hal.archives-ouvertes.fr/hal-03331446 ; International Conference on Text, Speech, and Dialogue (TSD ), 2021, Olomouc, Czech Republic. ⟨10.1007/978-3-030-83527-9_46⟩ (2021)
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Abstract:
International audience ; We propose in this paper a statistical model in the perspective of predicting listener's feedbacks in a conversation. The first contribution of the paper is a study of the prediction of all feedbacks, including those in overlap with the speaker with a good accuracy. Existing model are good at predicting feedbacks during a pause, but reach a very low success level for all feedbacks. We give in this paper a first step towards this complex problem. The second contribution is a model predicting precisely the type of the feedback (generic vs. specific) as well as other specific features (valence expectation) useful in particular for generating feedbacks in dialogue systems. This work relies on an original corpus.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [SCCO.LING]Cognitive science/Linguistics; [SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences; Corpus study; Feedback; Linguistic interaction; Statistical model
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URL: https://hal.archives-ouvertes.fr/hal-03331446v2/file/TSD_2021__version_auteur.pdf
https://hal.archives-ouvertes.fr/hal-03331446v2/document
https://hal.archives-ouvertes.fr/hal-03331446
https://doi.org/10.1007/978-3-030-83527-9_46
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