Icassp 2025 Workshops. 2024 ESICM Academy Note that workshop attendance will be free-of-charge for the main conference registrants, while a reduced registration fee will be charged to workshop-only attendees.. Workshop Paper Submission Deadline: November 1, 2024 November 8, 2024 Notification of Acceptance: December 18, 2024 Camera Ready Version and Registration: January 13, 2025 Workshop Date: co-located with ICASSP 2025 in Hyderabad, India (April 7, 2025) All deadlines refer to midnight (23:59) in the AoE (Anywhere on Earth) time zone.
ICASSP 2021 IEEE Signal Processing Society Resource Center from rc.signalprocessingsociety.org
The workshop will be co-located with ICASSP 2025 and held on April 07, 2025 Workshop on Indian Music Analysis and Generative Applications (WIMAGA) Monday, 7 April 2025
ICASSP 2021 IEEE Signal Processing Society Resource Center
The first Workshop on Speech and Audio Language Models (SALMA), co-located with ICASSP 2025, is focused on exploring how Large Language Models (LLMs) can be utilized to advance speech and audio processing The first Workshop on Speech and Audio Language Models (SALMA), co-located with ICASSP 2025, is focused on exploring how Large Language Models (LLMs) can be utilized to advance speech and audio processing The workshop will take place on April 7th, 2025 - afternoon session from 14:00 to 17:30
ICASSP 2025 Chirag Paunwala YouTube. This workshop aims to unite researchers, practitioners, and students engaged in array signal processing, providing a platform to exchange knowledge on emerging theories and best practices in the field. The High-Performance and Low-Cost Array Signal Processing: New Theories and Best Practices in Emerging Applications workshop is a satellite workshop associated with ICASSP 2025
ICASSP 2025 Hyderabad YouTube. Synthetic Aperture Summer School; Delhi SP/ML Pre-Conference Workshop; Hyderabad Satellite Events This workshop, a satellite event of ICASSP 2025, focuses on leveraging generative AI, including GANs, VAEs, Transformer-based models, and diffusion models, as well as adaptation techniques, such as zero- or few-shot learning, to create and enhance datasets for applications in.