Florian Eyben

Florian Eyben is a highly skilled professional known for his contributions to the fields of speech emotion recognition, Deep Learning based audio analysis, and computational paralinguistics.

With a Ph.D. from the Technical University of Munich (TUM) in Germany, Florian is recognized as an expert in deep learning, audio feature extraction, signal processing, project management, and tech innovation.

Florian Eyben has served as the Chief Technology Officer (CTO) at audEERING GmbH, where he leads tech and innovation efforts to develop cutting-edge products in the realm of speech emotion recognition.

His academic background includes studies in Informationstechnik (IT Engineering) at TUM, highlighting his strong foundation in technological disciplines.

Florian Eyben's professional experience also includes internships at reputable organizations such as Google and Toshiba Research Europe Limited, demonstrating his versatile skill set and industry exposure.

Florian is known for his significant contributions as the lead author of the openSMILE toolkit and as a co-author of the GPU accelerated LSTM-RNN training toolkit CuRRENNT, showcasing his expertise in developing essential tools for audio analysis and deep learning.

His tenure as a Wissenschaftlicher Mitarbeiter (Researcher) at TUM further illustrates Florian's commitment to research and academia in the realm of computational paralinguistics.