MIT chip reduces voice recognition power consumption by 99%. Glory V9 will be released in 5 days.

Editor's Note: One of the main topics of the 2017 Consumer Electronics Show (CES) is the increasing integration of interactive voice control features such as Amazon Echo and Google Home into the smart home platform. Industry experts, voice interaction as an important part of artificial intelligence, has been valued by international manufacturers. Ovum found that almost every smart home company at this year's show emphasized the importance of voice control. MIT's newly developed chips can reduce speech recognition power consumption by 99%. In addition, Huawei ZTE has been sued for patent infringement, and the Glory V9 will be released at 2017MWC, which also brings the latest product configuration information.

MIT's new chip reduces voice recognition power consumption by 99%

Researchers at MIT (Massachusetts Institute of Technology) have developed a low-power chip designed for automatic speech recognition. It is reported that the chips they developed can reduce the power consumption of speech recognition by up to 99%.

Apple's Siri, Google's Google Assistant, and Amazon's Alexa, smart voice assistants are becoming more popular. However, these virtual assistants all rely on voice recognition, and need to stay in the background to keep voice status at any time, which will inevitably reduce the battery life. Researchers at MIT say the voice recognition feature on mobile phones is about 1 watt, and the chips they use can reduce power to 0.2 to 10 milliwatts.

Normally, the chip responsible for speech recognition will always run a neural network in the background to detect all the sounds around, whether it is vocals or noise. MIT's chip adds a simple "sound detection" circuit that recognizes human voices and activates more complex speech recognition circuits once human voice is detected. This approach is like adding a coprocessor to the speech recognition chip, which greatly reduces power consumption. This means that even small electronic devices can use advanced speech recognition systems and AI assistants in the future.

Anantha Chandrakasan, professor of electrical engineering and computer science at MIT, said voice input would become a must-have feature for wearables and smart homes because they require a different way of interacting with touch or keyboard. Whether it's Siri, Google Assitant or Alexa, you want to implement voice recognition and you need to be connected to the cloud. This low-power chip will be the key to the localization of speech recognition.

Huawei ZTE was sued for patent infringement in Germany

MPEG LA, LLC announced yesterday (15th) that several patent holders authorized by MPEG LA's AVC patent portfolio have filed a lawsuit in the Düsseldorf District Court in Germany, accusing ZTE and Huawei Technologies Co., Ltd. of violating the use. Key patent for AVC/H.264 (MPEG-4 Part 10) digital video coding standards for mobile devices and other products.

According to the complaint, ZTE and Huawei provide mobile phone products in Germany, which use the patented AVC method without the need to have a license for individual patent holders or a combination license for these patents provided by MPEG LA. Litigation cases seek monetary compensation and bans.


It is understood that MPEG LA is the world's leading one-stop licensing provider for standards and other technology platforms. Since the 1990s, it has created a modern patent pool that helps produce the most widely used standards in consumer electronics history. MPEG LA has licensed more than 13,000 patents in 82 countries, with approximately 230 patent holders and more than 6,000 licensees. About 1,500 licensees enjoy the global one-stop coverage of MPEG LA's AVC patent portfolio license, a basic patent owned by 38 patent holders. By helping users achieve their technology choices, MPEG LA offers a licensing solution that provides a business planning process that gains basic intellectual property, operates freely, and reduces litigation risk and predictability.

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