Signal Processing for Robot Audition: How signal processing helps a robot recognize user commands in adverse environment
Ken Sugiyama, NEC Research Japan
11am-12 26th Oct 2018
This lecture presents an overview of signal processing for robot audition.
Human-robot communication is essentially supported by speech recognition whose performance is known to be seriously degraded in adverse environment. To help a robot recognize commands given by the user, four signal processing techniques are useful, namely, direction-of-arrival (DOA) estimation, noise cancellation, echo cancellation, and beam forming. Problems in these techniques which are specific to human-robot communication are identified and solutions to those problems are presented. Video demonstrations in the talk will help audience understand effects of these techniques.
Akihiko Sugiyama (a.k.a. Ken Sugiyama), affiliated with NEC Data Science Research Labs., has been engaged in a wide variety of research projects in signal processing such as audio coding and interference/noise control.
His team developed the world's first Silicon Audio in 1994, a precursor of iPod. He served as Chair of Audio and Acoustic Signal Processing Technical Committee, IEEE Signal Processing Society (SPS) [2011-2012],
as associate editors for several journals such as IEEE Trans. Signal Processing [1994-1996], as the Secretary and a Member at Large to the Conference Board of SPS [2010-2011], as a member of the Awards Board of SPS [2015-2017], as the Chair of Japan Chapter of SPS [2010-2011], and a member of IEEE Fellow Committee. He was a Technical Program Chair for ICASSP2012. He has contributed to 17 chapters of books and is the inventor of over 217
registered patents with more pending applications in the field of signal processing in Japan and overseas. He received 17 awards such as the 2002 IEICE Best Paper Award, the 2006 IEICE Achievement Award, and the 2013 Ichimura Industry Award. He has delivered 107 invited talks in 45 cities of 18 countries. He is Fellow of IEEE and IEICE, and a Distinguished Lecturer for IEEE SPS [2014-2015] and
for IEEE CE (Consumer Electronics Society) [2017-2018].