Room number

IDEG006

Telephone number

• office: +43 316 873 - 4373

Position

Research and Teaching Associates

Email

paierl@tugraz.at

Other Profiles

• 
  TUGRAZonline

Michael Paierl is a PhD student at Graz University of Technology, specializing in signal and speech processing as well as automatic speech recognition. He holds a Master’s degree in Sound Engineering from TU Graz, where his thesis focused on modeling natural conversations for human-robot interaction using a spontaneous speech corpus. His research interests include speech signal processing, speech sciences, and acoustics, with a particular focus on advancing speech-based human-computer interaction. By combining expertise in engineering and linguistics, he aims to contribute to the development of more natural and intelligent speech technologies.

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Student Projects

• Modelling Backchannels for Human-Robot Interaction
• Automatic Labelling of Creaky Patterns in Speech Signals
• Detection and visualisation of F0 tracking errors

PhD Thesis

• Social robots for training medical conversations

Publications

• Conference paper Paierl M., Hagmüller M. & Schuppler B. (2025) Continuous prediction of backchannel timing for human-robot interaction. in Interspeech 2025 (pp. 3020 - 3024). [more info]
• Journal article Paierl M., Kelterer A. & Schuppler B. (2025) Distribution and Timing of Verbal Backchannels in Conversational Speech: A Quantitative Study. in Languages, 10(8). [more info] [doi]
• Conference paper Paierl M., Röck T., Wepner S., Kelterer A. & Schuppler B. (2023) Creapy: A Python-based tool for the detection of creak in conversational speech. in 20th International Congress on Phonetic Sciences (pp. 1716). [more info]