Convergence of AI and Bluetooth Audio SoC: Pioneering the Future of Smart Devices

2024-07-16

With the rapid development of Artificial Intelligence (AI) technology, its application in the field of Bluetooth Audio System on Chip (SoC) has become a key force in promoting the high-end development of smart wearable devices. Smart wearable devices, such as smart glasses and smart earphones, integrate a variety of functions that not only meet daily usage needs but also enhance user experience and product technical content through AI technology.

Market Demand and Technical Challenges

Smart wearable devices with open-style audio systems face technical challenges such as low-frequency leakage, call quality, and low power consumption design. Chen Wuqing from Wuqi Microelectronics pointed out that these challenges include issues with low-frequency leakage, call effects under large echo structures, call quality issues in windy conditions during movement, and high requirements for battery power consumption.

Breakthroughs and Applications of AI Technology

To address these challenges, AI technology has been integrated into Bluetooth Audio SoC, significantly enhancing the audio experience through edge computing AI processing technology. For instance, Wuqi Microelectronics utilizes recurrent neural networks and convolutional neural networks, trained with extensive data, to optimize echo cancellation capabilities and address nonlinear residual echo processing. Additionally, multi-microphone technology and neural network algorithms effectively reduce wind noise and enhance the stability and clarity of voice.

Innovation in Power Consumption and Battery Life

In terms of low power consumption design for smart glasses, Wuqi Microelectronics has adopted a RISC-V + DSP architectural design and provided a multi-module processing software SDK. This allows for the addition of algorithms such as low-frequency compensation, virtual bass, dynamic EQ, and multi-MIC AI ENC while maintaining a low power consumption level, significantly improving device battery life.

Market Prospects and Development Trends

The

global personal smart audio device market is steadily growing, with a 6% increase compared to the same period in history. While the growth of TWS earbuds is slowing down, OWS earbuds and smart audio glasses are expected to become new growth points in the market. Therefore, many believe that in the future, smart audio glasses will take the lead in market volume, followed by AI glasses, and ultimately evolve into AR smart glasses that include audio, video, and content.

Technological Iteration and Product Competitiveness

To meet increasingly complex terminal processing tasks, chip manufacturers need to continuously iterate their products and launch more competitive chips. The main chip platform requires high integration, rich peripheral interfaces, and robust AI processing capabilities while maintaining high computing power and achieving low power consumption. Zhao Xinzhong from Actions Technology mentioned that the company has innovated in computational architecture and chip circuit implementation, upgrading the SoC chip to a CPU+DSP+NPU heterogeneous AI computing algorithm core architecture, creating low-power edge AI computing power.

Conclusion

The enhancement of AI technology has not only promoted the high-end development of Bluetooth Audio SoC chips but also brought new vitality to the smart wearable device market. As technology continues to develop and its applications deepen, we look forward to AI technology bringing more innovation and breakthroughs to the field of Bluetooth Audio SoC, driving the entire industry towards a more advanced and intelligent direction. At the same time, as part of the emerging market, smart audio glasses foretell a future where consumers will enjoy a richer and more convenient smart wearable experience.