With the increasing integration of artificial intelligence across various industries, especially in consumer electronics, more and more devices now come with AI capabilities. The terms “smart†and “artificial intelligence†are closely linked in the context of intelligent network set-top boxes. Both are labeled as “smart,†but what does this mean in terms of actual AI penetration? Will AI become a standard feature through product evolution?
Recently, Jietong Huasheng partnered with Ruixin Micro to introduce a far-field voice assistance solution for their Lingyun set-top box. This innovation allows users to control the device from a distance using voice commands, eliminating the need for traditional remote controls. In the industry, there's now the GX8010 chip, which is considered a veteran in the set-top box market. Its release by the chip manufacturer has reignited interest in AI-powered set-top boxes.
The GX8010 supports an 8-channel microphone interface, offering flexibility with both PDM and I2S digital interfaces, as well as built-in 8-channel ADC for analog microphones. It also integrates Cadence Tensilica’s highest-order voice DSP, Hifi-4, specifically designed for intelligent voice applications. This powerful processor efficiently handles various speech signal processing tasks. Additionally, the chip incorporates algorithms from Rokid and Scipto, creating a cost-effective and energy-efficient speech solution.
Beyond voice recognition, the GX8010 includes a vision system that supports 1080P camera input, image preprocessing, and MJPEG encoding. Once audio and video data are processed, they are sent to the central decision-making and application system for further processing and execution.
In terms of power consumption, the GX8010 leverages multi-core heterogeneity to optimize performance. It intelligently manages the operating frequency and timing of each module, enabling on-demand usage and efficient power management.
The chip also features a "multi-level wake-up mechanism," allowing the system to be activated based on different sound levels—whether it's a general noise, a voice, or a specific keyword. This hardware-based approach ensures a smooth and efficient wake-up process.
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