Zhongtian Micro unveiled at WARE 2018 AI Chip and Application Summit
Interpretation of AI chip intelligent voice chip
After the "hundred box wars" of the past year, the consumer masses have begun to move the product experience to the after-dinner chat, but the industry's focus on smart speakers is no longer the single product itself. Over half of 2018, more and more smart speaker family brothers and sisters began to squat, and various controlled accessories surrounding smart speakers are awakening the long-sleeping smart home market, those who are walking in the cutting-edge technology of human-computer interaction and AI The cutting-edge companies are making efforts to AI chips and deep vertical industry applications.
Smart speakers are just the tip of the iceberg in the smart voice market
The new era of "voice of all things" is kicking off
Low-cost penetration of the market, full-production scenario, full-ecological battle
The smart speaker market has grown 10 times in the past year, and shipments have also increased rapidly. In the face of the era of “after a hundred boxes†in 2018, with the rapid changes in the market environment, smart speaker products represented by Tmall Genie and Xiaoai speakers have been penetrating at a low price while technological development. This has also opened up A new round of full-scene and full-ecological contest.
Redefining the chip, thinking about AI from the core
Faced with this new trend, the industry also needs to embrace it with a new attitude. How to redefine the chip from the core side, use lower power consumption and lower cost, to promote the introduction of more terminals and drive product upgrades? Lao Maoyuan, head of Alibaba Zhongtian Micro Intelligent Voice Platform, shared the topic of "Thinking about AI·Chip Companies' AIoT Strategy from the Core" at the summit.
Lightweight AI application CPU Core
Intelligent voice introduces many new technical issues, such as multi-microphone signal processing, neural network-based algorithm support, complete requirements for cloud integration, and so on. For the whole machine or solution provider, due to the integration of chip, algorithm, and cloud resources, the market calls for a truly one-stop solution.
Based on the most upstream of the industry chain, Zhongtian Micro has the ability to optimize from the bottom of the CPU core. It not only innovatively introduces a new generation of CK805 core for end-side lightweight AI applications, but also retains the traditional excellent control performance. , Increased parallelism capabilities such as large bit-width SIMD, and made deep optimizations for AI computing from the architecture and instruction set levels.
In addition to the CPU core, it also provides a SOC reference design platform optimized for speech algorithms. The platform has a wealth of audio interfaces, algorithm-oriented hardware acceleration circuits, and scene-oriented low-power design, which can be combined with speech enhancement and speech recognition algorithms. Excellent integration, showing excellent differences in low power consumption and low cost, the measured power consumption reaches 1/10 of the existing market solution, and the cost is reduced to 1/2 of the existing market solution.
In addition to the underlying hardware, the algorithm is also an indispensable component. The speech enhancement algorithm and the speech recognition algorithm have different computing requirements. Only by truly optimizing the embedded hardware can the difference and competitiveness be formed. A complete intelligent voice application requires the integration of the cloud, and the fast cloud connection service is a feature that developers are very fancy.
In addition to the universal real-time operating systems (FreeRTOS, uCOS), the platform also provides excellent support for cloud-oriented operating systems such as AliOS-thing, with a wealth of functional components to quickly build specific applications. The platform integrates the CPU core, SoC design, algorithm, and cloud software supporting integration, allowing products to quickly form intelligent voice capabilities, allowing users to focus more on application-side development, and greatly reducing the time to market.
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