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Confirmation detection in human-agent interaction using non-lexical speech cues ...
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Confirmation detection in human-agent interaction using non-lexical speech cues
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Abstract:
Brandt M, Wrede B, Kummert F, Schillingmann L. Confirmation detection in human-agent interaction using non-lexical speech cues. Presented at the AAAI Symposium on Natural Communication for Human-Robot Collaboration, Arlington, VA. ; Even if only the acoustic channel is considered, human communication is highly multi-modal. Non-lexical cues provide a variety of information such as emotion or agreement. The ability to process such cues is highly relevant for spoken dialog systems, especially in assistance systems. In this paper we focus on the recognition of non-lexical confirmations such as "mhm", as they enhance the system's ability to accurately interpret human intent in natural communication. The architecture uses a Support Vector Machine to detect confirmations based on acoustic features. In a systematic comparison, several feature sets were evaluated for their performance on a corpus of human-agent interaction in a setting with naive users including elderly and cognitively impaired people. Our results show that using stacked formants as features yield an accuracy of 84% outperforming regular formants and MFCC or pitch based features for online classification.
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Keyword:
ddc:000
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URL: https://pub.uni-bielefeld.de/record/2915391 https://nbn-resolving.org/urn:nbn:de:0070-pub-29153919 https://pub.uni-bielefeld.de/download/2915391/2915392
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An Alternative to Mapping a Word onto a Concept in Language Acquisition: Pragmatic Frames
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In: ISSN: 1664-1078 ; Frontiers in Psychology ; https://hal.inria.fr/hal-01404385 ; Frontiers in Psychology, Frontiers, 2016, 7, pp.18. ⟨10.3389/fpsyg.2016.00470⟩ ; http://journal.frontiersin.org/article/10.3389/fpsyg.2016.00470/full (2016)
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Pragmatic Frames for Teaching and Learning in Human–Robot Interaction: Review and Challenges
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Embodied language learning and cognitive bootstrapping: methods and design principles
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Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles
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An Alternative to Mapping a Word onto a Concept in Language Acquisition: Pragmatic Frames
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Alignment to the Actions of a Robot
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In: ISSN: 1875-4791 ; EISSN: 1875-4805 ; International Journal of Social Robotics ; https://hal.inria.fr/hal-01249226 ; International Journal of Social Robotics, Springer, 2015, ⟨10.1007/s12369-014-0252-0⟩ (2015)
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The ITALK project : A developmental robotics approach to the study of individual, social, and linguistic learning
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Towards robots with teleological action and language understanding
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In: Humanoids 2012 Workshop on Developmental Robotics: Can developmental robotics yield human-like cognitive abilities? ; https://hal.inria.fr/hal-00788627 ; Humanoids 2012 Workshop on Developmental Robotics: Can developmental robotics yield human-like cognitive abilities?, Nov 2012, Osaka, Japan (2012)
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Modelling the effects of speech rate variation for automatic speech recognition
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