Oliver Walter earned his Ph.D. at the University of Paderborn for his Dissertation on “Unsupervised Language Acquisition” in the field of Automatic Speech Recognition. During his studies he visited the Queensland University of Technology (QUT). He researched as a visiting researcher, at the Language Technologies Institute (LTI) at Carnegie Mellon University (CMU) on methods for unsupervised learning for Automatic Speech Recognition. He also worked as an intern with Google in Sweden on audio signal processing topics for Voice over Internet communication (WebRTC), before joining Fraunhofer IAIS in 2017 as a research engineer. His focus is on real time speech recognition systems for live transcription, voice commands and spoken dialogue systems as well as speech recognition systems in general. Since 2020 he is team lead for the real time speech recognition research engineering team at Fraunhofer IAIS.
He and his team have contributed to many use cases and systems, from live captioning at the Saxonian parliament, starting in 2018, to speech dialogue systems in automotive use cases to further speech dialogue systems with multimodal audio and visual input and in Industry 4.0 settings with Human-Machine-Interaction (HMI) use-cases from 2020 onwards.
