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Advisor: Deepa P L
Email: deepa.pl@mbcet.ac.in
Chair: Abhilash G Nair
Email: abhilash301199@gmail.com
Advisor: Shital Gondaliya
Email: sngondaliya@mbict.ac.in
Chair: Reeti Girijakant Nanda
Email: reetinanda221@gmail.com
Advisor: Rekha Bhandarkar
Email: rekhabhandarkar@rediffmail.com
Chair: Shridhara Bhat P
Email: shridharbhat427@gmail.com
Advisor: Nagamani K
Email: nagamanik@rvce.edu.in
Chair: Niranjan DR
Email: niranjana.dr@gmail.com
Section: Publications & Resources
The first camera phone was sold in 2000, when taking pictures with your phone was an oddity, and sharing pictures online was unheard-of. Today, barely twenty years later, the smartphone is more camera than phone. This transformation was enabled by advances in computational photography — the science and engineering of making great images from small form factor, mobile cameras.
Reykjavík University’s Language and Voice Lab (https://lvl.ru.is) is looking for experts in speech recognition and in speech synthesis. At the LVL you will be joining a research team working on exciting developments in language technology as a part of the Icelandic Language Technology Programme (https://arxiv.org/pdf/2003.09244.pdf).
Job Duties:
Signal processing and communication students? We are looking for you!
The Signal Acquisition, Modeling, Processing, and Learning (SAMPL) lab headed by prof. Yonina Eldar is recruiting Masters and PhD students for cutting edge research in radar, communications, and analog-to-digital conversion.
Section: Publications & Resources
Each month, the Chapter Briefs Newsletter will feature an OU Analytics Tip that will be helpful to all who utilize the OU Analytics tool. This month's Tip features Potential Chapters.
Section: Publications & Resources
Associated SPS Event: IEEE ICASSP 2021 Grand Challenge
The ICASSP 2021 Acoustic Echo Cancellation Challenge is intended to stimulate research in the area of acoustic echo cancellation (AEC), which is an important part of speech enhancement and still a top issue in audio communication and conferencing systems. Many recent AEC studies report good performance on synthetic datasets where the train and test samples come from the same underlying distribution.
