Please use this identifier to cite or link to this item: doi:10.22028/D291-32048
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Title: Studying Mutual Phonetic Influence with a Web-Based Spoken Dialogue System
Author(s): Raveh, Eran
Steiner, Ingmar
Gessinger, Iona
Möbius, Bernd
Editor(s): Karpov, Alexey
Jokisch, Oliver
Potapova, Rodmonga Kondratʹevna
Language: English
Title: Speech and Computer
Startpage: 552
Endpage: 562
Publisher/Platform: Springer
Year of Publication: 2018
Place of publication: Cham
Title of the Conference: SPECOM 2018
Place of the conference: Leipzig, Germany
Publikation type: Conference Paper
Abstract: This paper presents a study on mutual speech variation influences in a human-computer setting. The study highlights behavioral patterns in data collected as part of a shadowing experiment, and is performed using a novel end-to-end platform for studying phonetic variation in dialogue. It includes a spoken dialogue system capable of detecting and tracking the state of phonetic features in the user’s speech and adapting accordingly. It provides visual and numeric representations of the changes in real time, offering a high degree of customization, and can be used for simulating or reproducing speech variation scenarios. The replicated experiment presented in this paper along with the analysis of the relationship between the human and non-human interlocutors lays the groundwork for a spoken dialogue system with personalized speaking style, which we expect will improve the naturalness and efficiency of human-computer interaction.
DOI of the first publication: 10.1007/978-3-319-99579-3_57
URL of the first publication:
Link to this record: hdl:20.500.11880/29615
ISBN: 978-3-319-99579-3
Date of registration: 1-Sep-2020
Notes: Lecture Notes in Artificial Intelligence ; volume 11096
Faculty: P - Philosophische Fakultät
Department: P - Sprachwissenschaft und Sprachtechnologie
Professorship: P - Prof. Dr. Bernd Möbius
Collections:UniBib – Die Universitätsbibliographie

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