Distinguished Lecture: Akihiko (Ken) Sugiyama (Yahoo Japan Corporation, Japan)
Date: 14-15 September 2023 Chapter: Madras Chapter Chapter Chair: Dr. N. Venkateswaran Title: Easy and Lazy Technical Writing : How to…
Read morePast SPS Conferences and Events
This page contains past SPS Conferences & Workshop starting from 2011. Original conference or workshop websites have been archived and stored whenever possible. Events can include virtual events such as webinars, lectures, seasonal schools and more.
(SSPD 2023) 2023 Sensor Signal Processing for Defence
Date: 12-13 September 2023 Location: Edinburgh, UK
Read moreDistinguished Lecture: Akihiko (Ken) Sugiyama (Yahoo Japan Corporation, Japan)
Date: 11-12 September 2023 Chapter: Bangalore Chapter Chapter Chair: Shailesh Sakri Title: Easy and Lazy Technical Writing : How to build a…
Read moreDistinguished Lecture: Akihiko (Ken) Sugiyama (Yahoo Japan Corporation, Japan)
Date: 8-9 September 2023 Chapter: Hyderabad Chapter Chapter Chair: Lalitha Vadlamani Title: Easy and Lazy Technical Writing : How to build a…
Read moreSPS-IFS TC Webinar: Detection and Generation of Deep Fakes
Date: 7 September 2023
Time: 10:00 AM EDT (Local time)
Presenter(s): Prof. Peter Eisert
(EUSIPCO 2023) 2023 European Signal Processing Conference
Date: 4-8 September 2023 Location: Helsinki, Finland
Read more2023 IEEE SPS 6th Edition of New Trends in Signal Processing (NeTSiP 2023)
Date: 25-26 August 2023 Location: Gujarat, India
Read moreDistinguished Lecture: Prof. Woon-Seng Gan (Nanyang Technological University, Singapore)
Date: 25 August 2023
Chapter: Kansai Chapter
Chapter Chair: Satoshi Nakamura
Title: Signal Processing and Deep Learning for Practical Active Noise Control
2023 IEEE SPS Seasonal School on Speech and Voice Analysis and Modelling Challenges and Recent Advances
Date: 24-26 August 2023 Location: Hyderabad, India
Read moreDistinguished Lecture: Prof. Woon-Seng Gan (Nanyang Technological University, Singapore)
Date: 17 August 2023
Chapter: Tokyo Chapter
Chapter Chair: Nobutaka Ono
Title: Harnessing the Power of Deep Learning for Urban Sound Sensing and Noise Mitigation
