10.24.2025
Take Part in the 2025 Low-Resource Audio Codec (LRAC) Challenge
Participate in the 2025 Low-Resource Audio Codec (LRAC) Challenge, an exciting opportunity to advance the state-of-the-art in neural audio coding for… Read more
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IEEE SPS Events
2026 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)
Date: July 13-16, 2026
Location: Shenzhen, China
13 Jul
(SPAWC 2026) IEEE 27th International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications
Date: 7-9 September 2026
Location: Greece
Conference Paper Submission Deadline: Coming Soon
Website Link: Coming Soon
07 Sep
SPS Webinar: Minor Manipulations, Major Threat: An Overview of Partially Fake Speech
Date: 20-November-2025
Time: 09:30 AM ET (New York Time)
Presenter: Dr. Lin Zhang
20 Nov
2029 IEEE International Conferences on Acoustics, Speech, and Signal Processing (ICASSP)
Date: 22-27 April 2029
Location: Copenhagen, Denmark
Conference Paper Submission Deadline: TBD
22 Apr
2028 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Date: 28 May-3 June 2028
Location: Tokyo, Japan
Conference Paper Submission Deadline: Coming Soon
28 May
2027 IEEE International Conference on Image Processing (ICIP)
Date: 17-27 October 2027
Location: Singapore
Conference Paper Submission Deadline: Coming soon
17 Oct
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Join renowned scientist @klbouman for a look at the methods & procedures used to produce the first images of Sagittarius A* as well as discuss future directions being taken to leverage machine learning to sharpen our view of the black hole. Register at https://t.co/EMuk0O9Nbb. https://t.co/b4DoGEVEVP
Are you ready to shape the future of tech? The 2026 Signal Processing Cup is calling all students to compete in a cutting-edge challenge: Enhance real-time audio-visual zooming on smartphones! 💡 Learn more & register your team by 10 November at https://t.co/A65Da7UKH2. https://t.co/GztuQhSgOL
Discover methods and procedures used to produce the first images of Sagittarius A* as well as discuss future directions we are taking to leverage machine learning to sharpen our view of the black hole. 🔗 Register at https://t.co/Zr6pDfvREF #MachineLearning #ieee #space https://t.co/iR8xKE29RT
