Project C06: Technically enabled explanation of speaker traits
A voice might be described as hoarse, or it may be clear, deep, or breathy. Researchers in Project C06 are looking at issues of how different vocal traits sound, and how a voice can be represented in all of its many facets. Here, linguists and computer scientists are working to develop an intelligent system that professionals can use to explain the phenomenon of voice to general audiences. To do this, the Artificial Intelligence (AI) system generates speech samples in which the same content is spoken by different voices. This may also be helpful for clinical linguists working in diagnostics, for example, to help identify the vocal characteristics of Parkinson's disease. By demonstrating how the system measures differences between voices, vocal modelling becomes more transparent and comprehensible. The goal of the research team is to find out whether people can better imitate and describe a voice with the help of the AI system.
Research areas: Computer science, Linguistics
Support staff
Marc Deegen, Paderborn University
Lisa Kalinitschenko, Bielefeld University
Alexandra Schmidt, Bielefeld University
Publications
J. Wiechmann, T. Glarner, F. Rautenberg, P. Wagner, R. Haeb-Umbach, in: 18. Phonetik Und Phonologie Im Deutschsprachigen Raum (P&P), 2022.
F. Rautenberg, M. Kuhlmann, J. Wiechmann, F. Seebauer, P. Wagner, R. Haeb-Umbach, in: ITG Conference on Speech Communication, 2023.
J. Wiechmann, F. Rautenberg, P. Wagner, R. Haeb-Umbach, in: 20th International Congress of the Phonetic Sciences (ICPhS) , 2023.
F. Seebauer, M. Kuhlmann, R. Haeb-Umbach, P. Wagner, in: 12th Speech Synthesis Workshop (SSW) 2023, 2023.
F. Rautenberg, M. Kuhlmann, J. Ebbers, J. Wiechmann, F. Seebauer, P. Wagner, R. Haeb-Umbach, in: Fortschritte Der Akustik - DAGA 2023, 2023, pp. 1409–1412.
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