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Section: Publications & Resources

Associated SPS Event: IEEE ICASSP 2021 Grand Challenge Text-to-speech (TTS) or speech synthesis has witnessed significant performance improvement with the help of deep learning. The latest advances in end-to-end text-to-speech paradigm and neural vocoder have enabled us to produce very realistic and natural-sounding synthetic speech reaching almost human-parity performance. But this amazing ability is still limited to the ideal scenarios with a large single-speaker less-expressive training set.

Section: Publications & Resources

Associated SPS Event: IEEE ICASSP 2021 Grand Challenge In today’s digital age, network security is critical as billions of computers around the world are connected with each other over networks. Symantec’s Internet Security Threat Report indicates a 56% increase in the number of network attacks in 2019. Network anomaly detection (NAD) is an attempt to detect anomalous network traffic by observing traffic data over time to define what is “normal” traffic and pick out potentially anomalous behavior that differs in some way.

Section: Publications & Resources

Associated SPS Event: IEEE ICASSP 2021 Grand Challenge Novel Coronavirus (COVID-19) has drastically overwhelmed more than 200 countries around the world affecting millions and claiming more than 1.5 million human lives, since its first emergence in late 2019. This highly contagious disease can easily spread, and if not controlled in a timely fashion, can rapidly incapacitate healthcare systems.

Section: Publications & Resources

Associated SPS Event: IEEE ICASSP 2021 Grand Challenge The ICASSP 2021 Deep Noise Suppression (DNS) challenge is designed to foster innovation in the field of noise suppression to achieve superior perceptual speech quality. We recently organized a DNS challenge special session at INTERSPEECH 2020. We open sourced training and test datasets for researchers to train their noise suppression models. We also open sourced a subjective evaluation framework and used the tool to evaluate and pick the final winners. Many researchers from academia and industry made significant contributions to push the field forward.

Section: Events

Submission Deadline: September 30, 2021 Call for Proposals Document

The Signal Acquisition, Modeling, Processing and Learning (SAMPL) lab headed by Prof. Yonina Eldar at the Weizmann Institute of Science is recruiting post-doctoral students for cutting-edge research at the intersection of signal processing, information theory and learning.  The work will be performed in collaboration with Prof. Muriel Medard at MIT, working with collaborative and supportive teams. Background in one or more of the above areas required with the desire to expand into the other areas.

Section: Publications & Resources

Every person spends around 1/3 of their life in bed. For an infant or a young toddler this percentage can be much higher, and for bed-bound patients it can go up to 100% of their time. In-bed pose estimation is a critical step in many human behavioral monitoring systems, which are focused on prevention, prediction, and management of at-rest or sleep-related conditions in both adults and children.

A postdoctoral research position is available at Johns Hopkins University in the laboratory of Dr. Mounya Elhilali to investigate representation of complex sounds in both biological and artificial networks. The position is available immediately for two years, with possibility of renewal. The ideal applicant will have a doctoral degree in computer science, electrical engineering, applied mathematics, neuroscience, psychology, hearing or brain sciences, with strong quantitative skills.

The Signal Acquisition, Modeling, Processing and Learning (SAMPL) lab headed by Prof. Yonina Eldar at the Weizmann Institute of Science is recruiting post-doctoral students for cutting-edge research at the intersection of signal processing, information theory and learning.  The work will be performed in collaboration with Prof. Muriel Medard at MIT, working with collaborative and supportive teams. Background in one or more of the above areas required with the desire to expand into the other areas.

Section: Community & Involvement

TWG Approved: 8 May 2021 Primary Technical Committee: Signal Processing for Communication and Networking (SPCOM)