دورية أكاديمية

Using complexity-identical human- and machine-directed utterances to investigate addressee detection for spoken dialogue systems

التفاصيل البيبلوغرافية
العنوان: Using complexity-identical human- and machine-directed utterances to investigate addressee detection for spoken dialogue systems
المؤلفون: Akhtiamov, Oleg, Siegert, Ingo, Karpov, Alexey, Minker, Wolfgang
بيانات النشر: Universität Ulm
سنة النشر: 2022
المجموعة: OPARU (OPen Access Repository of Ulm University)
مصطلحات موضوعية: addressee detection, computational paralinguistics, speaking style, data augmentation, mixup, speech classification, DDC 410 / Linguistics, Human-computer interaction, Prosodic analysis (Linguistics), Mensch-Maschine-Kommunikation
الوصف: Human-machine addressee detection (H-M AD) is a modern paralinguistics and dialogue challenge that arises in multiparty conversations between several people and a spoken dialogue system (SDS) since the users may also talk to each other and even to themselves while interacting with the system. The SDS is supposed to determine whether it is being addressed or not. All existing studies on acoustic H-M AD were conducted on corpora designed in such a way that a human addressee and a machine played different dialogue roles. This peculiarity influences speakers’ behaviour and increases vocal differences between human- and machine-directed utterances. In the present study, we consider the Restaurant Booking Corpus (RBC) that consists of complexity-identical human- and machine-directed phone calls and allows us to eliminate most of the factors influencing speakers’ behaviour implicitly. The only remaining factor is the speakers’ explicit awareness of their interlocutor (technical system or human being). Although complexity-identical H-M AD is essentially more challenging than the classical one, we managed to achieve significant improvements using data augmentation (unweighted average recall (UAR) = 0.628) over native listeners (UAR = 0.596) and a baseline classifier presented by the RBC developers (UAR = 0.539). ; publishedVersion
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
العلاقة: http://dx.doi.org/10.18725/OPARU-44334Test; https://oparu.uni-ulm.de/xmlui/123456789/44410Test; http://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-44410-9Test
DOI: 10.18725/OPARU-44334
الإتاحة: https://doi.org/10.18725/OPARU-44334Test
https://oparu.uni-ulm.de/xmlui/123456789/44410Test
http://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-44410-9Test
حقوق: CC BY 4.0 International ; https://creativecommons.org/licenses/by/4.0Test/
رقم الانضمام: edsbas.5027FDC6
قاعدة البيانات: BASE