February 28, 2018
Most of the recent talk in the automotive industry – and in the tech world, urban planning and the energy industry, too – has been about the impact that future self-driving cars will have on the way we live and get around town. But while there’s been plenty of debate about how safe these cars will be, and how soon they’ll come to market, there’s been little discussion of what these cars will be like on the inside – or how their entertainment and telecommunications systems may differ compared with the systems in today’s cars.
January 1, 2018
The automotive industry is starting to move in a direction that the computer and mobile technology industries did more than a decade ago: performing audio processing on a system microprocessor rather than on a dedicated DSP. By eliminating the dedicated DSP and the microprocessor, flash and RAM chips that support it, and moving these functions onto a system-on-a-chip (SoC), a savings of about $10 to $15 per vehicle can typically be realized.
November 27, 2017
Automotive voice command systems are about to go through a radical change, because the success of smartspeakers such as the Amazon Echo and Google Home has elevated consumer expectations. When the speakers people use at home work entirely from voice command, using natural language, why do drivers still have to push a button to issue a voice command inside their cars, and memorize specific commands that the car can understand?
Knowles introduces the IA8508, an Audio Weaver-compatible audio processor with advanced machine-learning capabilities for voice UI applications
October 18, 2017
Today Knowles, a global supplier of advanced micro-acoustic, audio processing and precision device solutions, announced a new audio processor platform that promises to advance the art and science of voice UI product design while making it easier for product designers to tap the advantages of DSP Concepts’ Audio Weaver® Voice UI algorithm package.
August 25, 2017
If you’re attending AES New York 2017 on October 18 through 21, we invite you to hear DSP Concepts’ Chief Technology Officer and founder, Dr. Paul Beckmann explain and demonstrate some of the latest developments in voice recognition and audio digital signal processing. Don’t miss these compelling sessions and the opportunity to meet with Paul. Here’s a quick overview of what he will be discussing.
August 20, 2016
IP technology is radically expanding the home security business. In a report titled “360 View: Residential Security and Smart Home,” market research firm Parks Associates found that nearly 20 percent of U.S. broadband households plan to acquire a networked security camera in the next 12 months. That suggests annual sales of roughly 16.7 million IP-enabled security cameras. Clearly, consumers appreciate what IP brings to home security.
February 27, 2016
The ARM Cortex M3 and Cortex M4 are new entrants to the audio design processing possibilities. ARM contracted with DSP Concepts to provide DSP library for their Cortex-M family. Because we specialize in audio DSP and have served the world’s most prestigious customers for over a decade, we understand what’s needed for audio product developers. DSP Concepts now also offers a patent pending Asynchronous Sample Rate Converter (ASRC) for the M3 and M4. Unlike other Asynchronous Sample Rate Converters which are one size fit all. DSP Concepts’ Asynchronous Sample Rate Converter offers tunable...
December 28, 2015
Come see us at the Cadence Booth where we will be showing Audio Weaver® support for Tensilica HiFi. Cadence will be...
November 28, 2015
Samsung is placing emphasis on their sound and acting more like a HiFi product maker. For years, smartphone makers don't understand the importance of tuning by golden ears. Much of the sound have only be created by engineers by looking at SNR and chart graphs. But the importance of psychoacoustics have often been ignored. Until now... http://www.koreatimes.co.kr/www/news/tech/2015/04/133_178080.html
November 2, 2015
Byron Moyer wrote this fabulous article on creating microphone processing easily using Audio Weaver®. The complexity of systems using multiple mics require an easy way to tune and shorten the iteration cycle on microphone algorithms. Unlike playback speaker algorithms, microphone algorithms are a lot harder due to the very several unpredictable conditions that a microphone is subjected to.