Michael Pucher

Acoustic Phonetics
Machine Learning
Research Scientist

Tel. +43 1 51581-2508
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Scientific IDs

ORCID: 0000-0002-5374-1342
Google Scholar

Academic background

Michael Pucher obtained his doctoral degree (Dr.techn.) in Electrical and Information Engineering from Graz University of Technology in 2007. In 2017 he received the venia docendi in Speech Communication at Graz University of Technology with a habilitation thesis on Speech Processing for Multimodal and Adaptive Systems. He holds a master degree (Dipl.-Ing.) in Computer Science from Vienna University of Technology (TUW) and a diploma degree (Mag.phil.) in philosophy from University of Vienna. From 2007 to 2015 he was Senior Researcher at the Telecommunications Research Center Vienna (FTW). Since 2016 he is Senior Research Scientist at the Acoustics Research Institute (ARI) of the Austrian Academy of Sciences (ÖAW).

Current research

During the last years his work was focused on the improvement of state-of-the-art speech synthesis technologies for the synthesis of language varieties and audio-visual speech. He has also made significant contributions in the area of speaker verification spoofing, where he showed how adaptive synthesizers can spoof a speaker verification system. Currently he is working on sociophonetics, articulatory modeling, synthesis of animal vocalizations, and synthesis of singing speech. More information and all publications can be found on http://sociolectix.org.


  • SS 2013 to WS 2019 Lecture on Cognitive User Interfaces at Institute of Computer Languages at Vienna University of Technology.
  • WS 2011 to 2016 Lecture on Computational Semantics at Institute of Computer Languages at Vienna University of Technology.