Audio signal processing has experienced rapid evolution in recent years, driven largely by developments in deep learning. Modern approaches now harness neural network architectures to extract ...

Wisear joins Naqi as a wholly owned subsidiary and European innovation hub, strengthening signal processing and AI/ML ...

Signal processing is a multidisciplinary field concerned with the analysis, transformation, and interpretation of signals—functions that convey information about physical phenomena. At its core, ...

Visual comparisons of different methods for super-resolution. The figure presents the measurements (left), reconstructed results (center), and ground truth (right). PSNR and LPIPS values are annotated ...

Smart devices respond to wake words like “Alexa,” “Hey, Siri,” or “OK, Google” using a machine-learning technique called keyword spotting.

Richard G. Baraniuk, the C. Sidney Burrus Professor of Electrical and Computer Engineering at Rice University (Photo credit: Brandon Martin/Rice University). Richard G. Baraniuk, the C. Sidney Burrus ...

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...

The Technical Psychoacoustics research group at the Aalto Acoustics Lab, within the Department of Information and Communications Engineering at Aalto University, invites applications for a one-year ...

Matthew Bird has previously received funding from the Department of Defense. The views expressed in this manuscript are those of the author and do not necessarily reflect the views, opinions, or ...

Forbes contributors publish independent expert analyses and insights. I delve into the intricate workings of artificial intelligence. When an individual files a medical insurance claim, they expect ...