Israel Cohen (Israel Institute of Technology, Israel)
Lecture Date: April 22, 2020
Chapter: Atlanta
Chapter Chair: Alessio Medda
Topic: Audio-Visual Voice Activity Detection Using Deep Neural Networks
Please visit the Conferences and Events page on the IEEE Signal Processing Society website for Upcoming Lectures by Distinguished Lecturers.
The Signal Processing Society (SPS) has 13 Technical Committees and 2 Special Interest Groups (SIGs) that support a broad selection of signal processing-related activities defined by the scope of the Society.
Are you looking to energize signal processing students, early stage researchers, and industry practitioners in your area? Consider hosting a Seasonal School for young engineers near you!
2020 Multimedia Prize Paper Award Nomination Period is Open. Any paper published in T-MM in 2017, 2018, or 2019 is eligible. Judging shall be on the bases of originality, subject matter, timeliness, potential impact, and presentation quality.
Dr. Maria Sabrina Greco graduated in Electronic Engineering in 1993 and received a Ph.D. degree in Telecommunication Engineering in 1998, from the University of Pisa, Italy. From December 1997 to May 1998, she joined the Georgia Tech Research Institute, Atlanta, in the USA as a visiting research scholar where she carried on research activity in the field of radar detection in non-Gaussian background.
Recent years have witnessed the rapid development of virtual reality (VR). Above 90% of VR content is in the form of 360° video, also called omnidirectional video or panoramic video. Generally speaking, 360° video offers immersive and interactive viewing experience, as the viewers are able to freely move their heads in the range of 360° × 180° to access different viewports. Therefore, the perception of 360° video is significantly different from that of traditional video.
Project Title: Automatically detecting emotional expressions in dynamic group interactions from audio signals
Lecture Date: April 22, 2020
Chapter: Atlanta
Chapter Chair: Alessio Medda
Topic: Audio-Visual Voice Activity Detection Using Deep Neural Networks
Every year the US Army spends close to 60 percent of funds allocated for a given air platform on maintenance and sustainment. Helicopters like the HH-60 Pave Hawk and the UH-60 Black Hawk undergo maintenance every at pre-determined cycles and their mechanical and electrical components have a finite life expectancy.