iHEARu-PLAY is being developed and runs as part of a collaboration of the Institute for Human-Machine Communication at the Technische Universität München, the Chair for Embedded Intelligence for Health Care and Wellbeing at the University of Augsburg, and the Chair of Complex and Intelligent Systems at the University of Passau. Lottery prices are kindly provided by audEERING GmbH.
The Technische Universität München (TUM) is an upper-to-medium-size university by German standards (approx. 25 000 students, 440 professors, 8 000 total staff). Its total turnover regarding research grants amounts to approx. 100 million Euro annually, thus ranking the TUM at third place among German universities and making it one of the leading technical universities in Germany and Europe. It has repeatedly been granted the status of a German Excellence University. Its Department of Electrical Engineering and Information Technology consists of 20 institutes, making it one of the largest of the university. The Institute for Human-Machine Communication within this department consists of a staff of two permanent senior researchers, and varying between 15 and 20 PhD students. It deals with novel technologies for a widely intuitive, natural, and therefore emotion sensitive and multimodal interaction between humans and complex information processing systems. Most of this research is carried out in EU, national and industry funded projects.
The University of Augsburg is a young medium size university by German standards (founded in 1970, over 20 000 students, 219 professors, 3 800 total staff). The newly founded Chair of Embedded Intelligence for Health Care and Wellbeing, in the Faculty of Computer Science positions itself at the intersection of modern Computer Science and Medicine. The chair pursues research in the field of computationally intelligent, ubiquitous sensing for knowledge-based monitoring of health-related activity, vital parameters, wellbeing, and contextual factors. To best fulfil these goals, the chair develops novel algorithms in the fields of deep and general machine learning, and robust signal processing. Most of this research is carried out in EU and national funded projects.
The University of Passau is a young smaller to medium size university by German standards (founded in 1973, over 12 000 students, 120 professors, 1 600 total staff). The Faculty of Computer Science and Mathematics encompasses a wide range of scientific competences, and is highly regarded both in Germany and abroad, including the following areas relevant to the project: Intelligent Technical Systems, Audio and Image Processing, Multimedia Technologies, and Information and Communication Systems. The newly founded Chair for Complex and Intelligent Systems within this department deals with novel machine learning and signal processing technologies for complex and intelligent information processing systems. This includes world-leading expertise in spoken and written language and audio analysis for emotion-sensitive multimodal interaction. Most of this research is carried out in EC-funded projects.
audEERING GmbH was founded in 2013 by Prof. Björn Schuller and three post-graduate students from his Machine Intelligence and Signal Processing Group at the Institute for Human-Machine Communication of the Technische Universität München, Munich, Germany. Their team members have industry experience and solid knowledge in machine learning, signal processing, audio analysis, and affective computing. They have worked on several national and international research projects in the past years at TUM, including the prestigious SEMAINE EU-FP7 project and the ASC-I EU project.
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.
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.
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.
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.
We kindly thank Christoph Hausner, Mai Lan Dinh-Thanh, Richard Maltan, Ebraheem Mohamed Aly, Andreas Bucher, Tobias Geib, Lucas Breitsameter, Christoph Stemp, Maximilian Schmeller, Tobias Olenyi, Florian Maier, Alexander Abstreiter and Dariia Grishina for their support as student assistants.
Chair of Embedded Intelligence for Health Care and Wellbeing
University of Augsburg
Dipl.-Ing. (FH) Simone Hantke, M.Sc.