Frank Seide, a native of Hamburg, Germany, is a Principal Researcher at Microsoft Research, and an architect of Microsoft's Cognitive Toolkit for deep learning. His current research focus is on deep neural networks for conversational speech recognition; together with co-author Dong Yu, he was first to show the effectiveness of deep neural networks for recognition of conversational speech. Throughout his career, he has been interested in and worked on a broad range of topics and components of automatic speech recognition, including spoken-dialogue systems, recognition of Mandarin Chinese, and, particularly, large-vocabulary recognition of conversational speech with application to audio indexing, transcription, and speech-to-speech translation.
In 1993, Frank received a Master degree in electrical engineering from the University of Technology of Hamburg-Harburg, Germany, and joined the speech research group of Philips Research in Aachen, Germany, to work on spoken-dialogue systems. He then transferred to Taiwan as one of the founding members of Philips Research East-Asia, Taipei, to lead a research project on Mandarin speech recognition. In June 2001, he joined the speech group at Microsoft Research Asia, Beijing, initially as a Researcher, since 2003 as Project Leader for offline speech applications, and since October 2006 as Research Manager. In 2014, Frank joined the Speech & Dialogue group at MSR Redmond as a Principal Researcher.
