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Vivek Sivaraman Narayanaswamy
Arizona State University
3Publications
Publications 3
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2019 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
#1Vivek Sivaraman Narayanaswamy (ASU: Arizona State University)
#2Jayaraman J. Thiagarajan (LLNL: Lawrence Livermore National Laboratory)H-Index: 10
Last.Andreas SpaniasH-Index: 26
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May 1, 2019 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
#1Uday Shankar Shanthamallu (ASU: Arizona State University)H-Index: 2
#2Sunil Rao (ASU: Arizona State University)H-Index: 2
Last.Andreas Spanias (ASU: Arizona State University)H-Index: 26
view all 6 authors...
Machine Learning (ML) and Artificial Intelligence (AI) algorithms are enabling several modern smart products and devices. Furthermore, several initiatives such as smart cities and autonomous vehicles utilize AI and ML computational engines. The current and emerging applications and the growing industrial interest in AI necessitate introducing ML algorithms at the undergraduate level. In this paper, we describe a series of activities to introduce ML in undergraduate digital signal processing (DSP...
#1Vivek Sivaraman Narayanaswamy (ASU: Arizona State University)
#2Sameeksha Katoch (ASU: Arizona State University)H-Index: 1
Last.Andreas Spanias (ASU: Arizona State University)H-Index: 26
view all 5 authors...
Modern audio source separation techniques rely on optimizing sequence model architectures such as, 1D-CNNs, on mixture recordings to generalize well to unseen mixtures. Specifically, recent focus is on time-domain based architectures such as Wave-U-Net which exploit temporal context by extracting multi-scale features. However, the optimality of the feature extraction process in these architectures has not been well investigated. In this paper, we examine and recommend critical architectural chan...
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