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Speech, Voice, Text, and Meaning A Multidisciplinary Approach to Interview Data through the use of digital tools

Hessen, Arjan van and Calamai, Silvia and Heuvel, Henk van den and Scagliola, Stefania and Karrouche, Norah and Beeken, Jeannine and Corti, Louise and Draxler, Christoph (2020) Speech, Voice, Text, and Meaning A Multidisciplinary Approach to Interview Data through the use of digital tools. In: ICMI '20: International Conference on Multimodal Interaction, 2020-10-25 - 2020-10-29, Virtual.

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Abstract

Interview data is multimodal data: it consists of speech sound, facial expression and gestures, captured in a particular situation, and containing textual information and emotion. This workshop shows how a multidisciplinary approach may exploit the full potential of interview data. The workshop first gives a systematic overview of the research fields working with interview data. It then presents the speech technology currently available to support transcribing and annotating interview data, such as automatic speech recognition, speaker diarization, and emotion detection. Finally, scholars who work with interview data and tools may present their work and discover how to make use of existing technology.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: Proceedings of the 2020 International Conference on Multimodal Interaction
Divisions: Faculty of Social Sciences
Faculty of Social Sciences > UK Data Archive
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 14 Jan 2021 15:11
Last Modified: 15 Jan 2022 01:36
URI: http://repository.essex.ac.uk/id/eprint/29419

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