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 ...

Artificial Intelligence (AI), especially deep learning, has significantly impacted audio and video signal processing. With large-scale multimodal datasets and enhanced computational resources, AI is ...

Bangalore. February 23, 2010-- Ittiam today announced the availability of audio codecs and post-processing algorithms for the newly released ARM® Cortex™-M4 processor. The ARM Cortex-M4 processor ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--DSP Concepts, Inc., a developer of embedded audio DSP solutions, has announced multicore support for its Audio Weaver ® modular programming software. Audio Weaver ...

ANC uses microphones, processors, and speakers to generate an equal and opposite signal that cancels interference in real time.

ZSP500 core chosen for best performance, lowest power, and cost efficiencies in set-top box audio applications ( http://www.zsp.com/products/cores/zsp500.html ...

Today, fast perception and accurate assessment of audio, using visual representation methods, are indispensable in production, post production and broadcast. Suboptimal monitoring conditions, stress ...

Automobiles are undergoing a digital makeover: gone forever are the days of pure mechanical systems and analog electronics. Today’s automobile is a digital automobile, incorporating dozens of embedded ...

Signal processing is one of the hidden areas of video production. Everyone pays attention to the cameras, the editing systems and the video resolution/format, but signal processing? Why would anyone ...

Within the automotive in-cabin electronics segment, it’s becoming increasingly clear that the universe of audio-, voice-, and acoustics-related applications is rapidly expanding as car manufacturers ...