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Section: Publications & Resources

Publication: IEEE Transactions on Multimedia

Acoustic event detection deals with the acoustic signals to determine the sound type and to estimate the audio event boundaries. Multi-label classification based approaches are commonly used to detect the frame wise event types with a median filter applied to determine the happening acoustic events. However, the multi-label classifiers are trained only on the acoustic event types ignoring the frame position within the audio events.

Section: Publications & Resources

Publication: IEEE Transactions on Multimedia

Research in light field (LF) processing has heavily increased over the last decade. This is largely driven by the desire to achieve the same level of immersion and navigational freedom for camera-captured scenes as it is currently available for CGI content. Standardization organizations such as MPEG and JPEG continue to follow conventional coding paradigms in which viewpoints are discretely represented on 2-D regular grids.

Section: Publications & Resources

Publication: IEEE Transactions on Multimedia

This paper deals with the design of a sensing matrix along with a sparse recovery algorithm by utilizing the probability-based prior information for compressed sensing systems. With the knowledge of the probability for each atom of the dictionary being used, a diagonal weighted matrix is obtained and then the sensing matrix is designed by minimizing a weighted function such that the Gram of the equivalent dictionary is as close to the Gram of dictionary as possible.

Section: Community & Involvement

Technical Committee Past Members   The following lists all the past chairs and members of the SPS Speech and Language Processing Technical Committee.  *NOTE: Please scroll up/down and left/right within the Past Members window to view the full list. Also, view the full downloadable list (right-click, Save As to save file).

Section: Publications & Resources

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).

Section: Publications & Resources

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!

Section: Publications & Resources

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!

Section: Community & Involvement

Technical Committee Past Members   The following lists all the past chairs and members of the SPS Machine Learning for Signal Processing Technical Committee. 

The research group Communication Systems and Networks at Mid Sweden Sweden University announces one open Associate Senior Lecturer position within the area of wireless communication.  We are looking for candidates with experience and knowledge on: machine learning, artificial intelligence, radio resource management, spectrum management, and communication protocols. The applicant should have an outstanding research record documented by publications in high-ranked journal. We are looking for strongly motivated and responsible candidates, who are able to work independently and cooperate.

Applicants are invited for two Early Stage Researchers (ESR) of EU Marie Sklodowska-Curie Actions (MSCA) to be hosted in the Istituto Italiano di Tecnologia (IIT). The positions are for a fixed-term of 3 years and the successful applicants are expected to register for PhD at the University of Ferrara, in Translational Neurosciences and Neurotechnologies. The two Early Stage Researchers (ESR) of COBRA H2020 project (G.A. N.