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SPS Conferences and Events

The IEEE Signal Processing Society sponsors technical conferences, symposia and workshops dedicated to fostering networking opportunities with peers from around the world, and to exchange leading-edge, peer-reviewed scientific and technological knowledge. The Society hosts a number of worldwide events throughout the year, enabling members to exchange knowledge and network with leading scientists among many signal processing disciplines while exploring countries around the world. If you’re interested in attending an event or getting involved in the research or planning process, explore the calendar of events to learn more. Visit the Call for Papers page for conference call for paper submission deadlines. If you’re a student, you may be interested in attending one of the Society’s Seasonal Schools in Signal Processing (S3P) Program. The Society's Distinguished Lecturer Program provides means for chapters to have access to individuals who are well known educators and authors in the fields of signal processing.


 

Choose from a List of our Events:

Israel Cohen (Israel Institute of Technology, Israel)

Lecture Date: March 12-13, 2020
Chapter: Pune
Chapter Chair: Anil Tavildar
Topic: Array processing and beamforming with Kronecker products,
Audio-Visual Voice Activity Detection Using Deep Neural Networks

Israel Cohen (Israel Institute of Technology, Israel)

Lecture Date: March 16-17, 2020
Chapter: Bangalore
Chapter Chair: Venkatesh Radhakrishnan
Topic: Optimal Multichannel signal enhancement, Audio-Visual
Voice Activity Detection Using Deep Neural Networks

Israel Cohen (Israel Institute of Technology, Israel)

Lecture Date: March 16-17, 2020
Chapter: Bangalore
Chapter Chair: Chandra Sekhar Seelamantula
Topic: Optimal Multichannel signal enhancement, Audio-Visual
Voice Activity Detection Using Deep Neural Networks

Israel Cohen (Israel Institute of Technology, Israel)

Lecture Date: March 19-21, 2020
Chapter: Chennai
Chapter Chair: S. Salivahanan
Topic: Audio-Visual Voice Activity Detection Using Deep Neural Networks,
Array processing and beamforming with Kronecker products

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