Dr. Sanjit Kumar Mitra is an Distinguished Professor Emeritus of Electrical and Computer Engineering, University of California, Santa Barbara, and Stephen and Etta Varra Professor Emeritus of Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles.

The IEEE Signal Processing Society Kerala Chapter's most remarkable sponsorship track event, Hub Meets were conducted. As a part of the Hub Meets, the Young Professionals team of SPS KC had informative sessions at respective colleges. They provided a clear understanding of opportunities of being an SPS member.

The Signal Processing Society (SPS) has 12 Technical Committees that support a broad selection of signal processing-related activities defined by the scope of the Society.

The IEEE Transactions on Multimedia is now accepting nominations for the 2023 Multimedia Prize Paper Award.  Nominations are due no later than 31 March 2023.

Radial sampling pattern is an important signal acquisition strategy in magnetic resonance imaging (MRI) owing to better immunity to motion-induced artifacts and less pronounced aliasing due to undersampling compared to the Cartesian sampling. 

Audio pattern recognition is an important research topic in the machine learning area, and includes several tasks such as audio tagging, acoustic scene classification, music classification, speech emotion classification and sound event detection. In this blog, we introduce pretrained audio neural networks (PANNs) trained on the large-scale AudioSet dataset. These PANNs are transferred to other audio related tasks. We investigate the performance and computational complexity of PANNs modeled by a variety of convolutional neural networks. We propose an architecture called Wavegram-Logmel-CNN using both log-mel spectrogram and waveform as input feature.

Recent advances in multimodal processing have led to promising solutions for speech-processing tasks. One example is automatic speech recognition (ASR), which is a key component in current speech-based systems.

The IEEE Signal Processing Society (SPS) announces the 2023 Class of Distinguished Lecturers and Distinguished Industry Speakers for the term of 1 January 2023 to 31 December 2024.  The IEEE SPS Distinguished Lecturer (DL) Program provides a means for Chapters to have access to well-known educators and authors in the fields of signal processing to lecture at Chapter meetings.

Are you looking for innovative ways to energize and collaborate with your local signal processing community? Consider hosting a Seasonal School or Member Driven Initiative!

The Signal Processing Society (SPS) has 12 Technical Committees that support a broad selection of signal processing-related activities defined by the scope of the Society.