IHEARU-PLAY - Key Persons
Job Titles:
- Chief Technical Officer of AudEERING GmBH
Florian Eyben is the Chief Technical Officer of audEERING GmBH. His background is in speech and music processing, especially large scale acoustic feature extraction, digital signal processing, and machine learning. He has a diploma in information technology engineering from Technische Universität München. He is the lead author of the open-source speech and music analysis tool openSMILE and the emotion recognition toolkit openEAR. Audeering is sponsoring iHEARu-PLAY and kindly provides Lottery prices for our users.
Björn Schuller is head of the Chair of Embedded Intelligence for Health Care and Wellbeing at the University of Augsburg, CEO of audEERING GmbH, and senior lecturer in machine learning at the Imperial College London, UK. He has 15 years of experience in machine learning, affective computing, and automatic speech recognition. Schuller has a PhD and habilitation in electrical engineering and information technology from the Technische Universität München, and is recipient of an ERC Starting Grant 2013 (9% acceptance rate) for the iHEARu project dealing with Intelligent systems' Holistic Evolving Analysis of Real-life Universal speaker characteristics. Other steering and involvement in current and past research projects includes the European Community funded ASC-Inclusion STREP project (Coordinator) and the awarded SEMAINE project, projects funded by the German Research Foundation (DFG) and various industry projects with major international companies.
Simone Hantke received her Diploma in Media Technology in 2011 from the Technische Hochschule Deggendorf and her Master of Science in 2014 from the Technische Universität München, one of three Germany's Excellence Universities. She currently is a PhD Candidate at the Institute for Human-Machine Communication at the Technische Universität München. Simone Hantke has been working in the Complex and Intelligent Systems Group at the University of Passau and is currently working in the Embedded Intelligence for Health Care and Wellbeing Group at the University of Augsburg. She is working on her doctoral thesis in the field of affective computing and speech recognition, focusing her research on data collection and new machine learning approaches for robust automatic speech recognition and speaker characterization. Her main area of involvement has been with the EU-FP7 ERC project iHEARu. In the scope of this project she lead the development of crowdsourcing audio data collection and annotation for speech processing and is the lead author of iHEARu-PLAY.
Tobias Appel received his Master of Science degree in 2015 from the Technische Universität München. His master's thesis "Crowdsourcing- and Games-Concepts for Data Annotation" was supervised by Simone Hantke. In the scope of his thesis, Tobias developed the fundamental concept and the basic technological framework for iHEARu-PLAY together with Simone. Tobias is now part-time employed by audEERING GmbH and continues to contribute to iHEARu-PLAY.