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Obstructive Sleep Apnea (OSA) is a sleep breathing disorder affecting at least 3–7% of male adults and 2–5% of female adults between 30 and 70 years. It causes recurrent partial or total obstruction episodes at the level of the pharynx which causes cessation of breath during sleep.
Approximately one-fifth of the world's population suffer or have suffered from voice and speech production disorders due to diseases or some other dysfunction. Thus, there is a clear need for objective ways to evaluate the quality of voice and speech as well as its link to vocal fold activity, to evaluate the complex interaction between the larynx and voluntary movements of the articulators (i.e., lips, teeth, tongue, velum, jaw, etc), or to evaluate disfluencies at the language level.
In the past decade, deep learning methods have achieved unprecedented performance on a broad range of problems in various fields from computer vision to speech recognition. So far research has mainly focused on developing deep learning methods for Euclidean-structured data.
IEEE realizes that many are directly or indirectly engaged in the fight against COVID-19 and its effects on global health and safety, research, infrastructure, communications, and more. IEEE has identified articles from the IEEE Xplore digital library that may help researchers understand and manage different aspects of the COVID-19 pandemic and technologies that can be leveraged to combat it.
Though the effects of the COVID-19 pandemic presented the world with unforeseen challenges, the IEEE Signal Processing Society is committed to exploring new ways to innovate, providing our global community with even more opportunities to connect, collaborate, and discover the latest research and breakthroughs from signal processing professionals throughout the world. Even if we weren’t initially seeing you in-person this year, we hope you’ll mark your calendar to and join us for these pioneering virtual events!
The IEEE Signal Processing Society (SPS) invites nominations for the position of Editor-in-Chief for the following journal: IEEE Signal Processing Magazine for a 3-year term starting 1 January 2021.
December 6-9, 2020
NOTE: Location changed to--Virtual Conference
The IEEE Signal Processing Society would like to express our concern and support for the members of our global community and all affected by the current COVID-19 pandemic. We appreciate your continued patience and support as we work together to navigate these unforeseen and uncertain circumstances. We hope that you, your families, and your communities are safe!
In this era of stress-filled life styles and cut-throat competitions, cardiovascular diseases and heart abnormalities are becoming common in the people of early age groups.
IEEE SPS has built a streamlined mechanism for employers to add a job announcement by simply filling in a simple job opportunity submission Web form related to a particular TC field. To submit job announcements for a particular Technical Committee, the submission form can be found by visiting the page below and selecting a particular TC.
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.
The workshop is 22nd in the series, organized by the Multimedia Signal Processing Technical Committee of the IEEE Signal Processing Society (SPS), with the aim to bring together researchers and practitioners from academia and industry, passionate about multimedia signal processing, to share their knowledge, exchange ideas, explore future research directions and network.
With enthusiasm, we announce the call for interest in the 1st Listener Acoustic Personalization Challenge (LAP 2024). The challenge acknowledges the diverse expertise within the signal processing community to facilitate cross-pollination of ideas and foster collaborative innovation in the audio domain, but not limited to.
Dr. Pascale Fung is a Professor at the Department of Electronic & Computer Engineering and the Department of Computer Science & Engineering at The Hong Kong University of Science & Technology (HKUST).
The Quantum Information and Inference group led by Jan Kolodynski at the Centre of New Technologies (CeNT) of the University of Warsaw offers a 2(+1)-year postdoctoral position within the project Continuously Monitored Quantum Sensors: Smart Tools and Appl
Postdoctoral Position - Decision Making with Limited Data using Artificial Intelligence - An Active Inference Approach
Signals and Systems Division, Department of Electrical Engineering, Uppsala University has a vacancy for a postdoctoral position. The position is a part of the strategic research area effort eSSENCE´s PostDoc-program towards new e-science methods and tools for artificial intelligence in research.
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