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 ...

AUSTIN, Texas--(BUSINESS WIRE)-- Cirrus Logic, Inc. (NAS: CRUS) announced today that it has acquired Acoustic Technologies, Inc. The Mesa, Ariz.,-based firm is a leader in embedded firmware voice ...

While at the MEMS & Sensors Executive Congress 2016 in Scottsdale, AZ I had breakfast with Will Tu, VP Sales and marketing from DSP Concepts. My goal was to understand how to effectively design audio ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Soroosh Khodami discusses why we aren't ready ...

Signal processing in Python is more approachable than ever with libraries like NumPy and SciPy. These tools make it easy to filter noise, analyze frequencies, and transform raw signals into meaningful ...

SynSense, a supplier of ultra-low-power neuromorphic hardware and application solutions, has completed the tapeout of Xylo Audio 3, the company’s ultra-low-power audio processing platform built on the ...

Advanced electronics and smart sensors are leading to vehicles that are safer, smarter and consume less fuel than those of previous generations. Many of those same technologies that are making cars ...

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 ...

Applications range from medical imaging to autonomous vehicle technology. Learn data manipulation techniques to improve signal or image fidelity. Understand the theory of probability and stochastic ...