`

Timezone: »

 
Hynek Hermansky, "Learning - not just for machines anymore"
Hynek Hermansky

Sat Dec 08 08:00 AM -- 08:30 AM (PST) @ None

It is often argued that in processing of sensory signals such as speech, engineering should apply knowledge of properties of human perception - both have the same goal of getting information from the signal. We show on examples from speech technology that perceptual research can also learn from advances in technology. After all, speech evolved to be heard and properties of hearing are imprinted on speech. Subsequently, engineering optimizations of speech technology often yield human-like processing strategies. Further, fundamental difficulties that speech engineering still faces could indicate gaps in our current understanding
 of the human speech communication process, suggesting directions of further inquiries.

Author Information

Hynek Hermansky (The Johns Hopkins University)

Hynek Hermansky (F'01, SM'92. M'83, SM'78) received the Dr. Eng. Degree from the University of Tokyo, and Dipl. Ing. Degree from Brno University of Technology, Czech Republic. He is the Julian S. Smith Professor of Electrical Engineering and the Director of the Center for Language and Speech Processing at the Johns Hopkins University in Baltimore, Maryland. He is also a Research Professor at the Brno University of Technology, Czech Republic. He is a Life Fellow of the Institute of Electrical and Electronic Engineers (IEEE) IEEE, and a Fellow of the International Speech Communication Association (ISCA), was twice an elected Member of the Board of ISCA, a Distinguished Lecturer for ISCA and for IEEE, and is the recipient of the 2013 ISCA Medal for Scientific Achievement. He has been working in speech processing for over 30 years, mainly in acoustic processing for speech recognition.

More from the Same Authors

  • 2018 : Panel Discussion »
    Rich Caruana · Mike Schuster · Ralf SchlĂĽter · Hynek Hermansky · Renato De Mori · Samy Bengio · Michiel Bacchiani · Jason Eisner