ABI RESEARCH-Over 2 Billion Devices Will be Shipped with a Dedicated Chipset for Ambient Sound or Natural Language Processing By 2026.
ENPNewswire-September 22, 2021--ABI RESEARCH-Over 2 Billion Devices Will be Shipped with a Dedicated Chipset for Ambient Sound or Natural Language Processing By 2026
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Release date- 21092021 - Natural Language Processing (NLP) and ambient sound processing are traditionally considered exclusive cloud technologies and this has restricted their adoption in markets where security, privacy, and service continuity are critical elements for deployment.
However, the advancements in deep learning compression technologies and edge Artificial Intelligence (AI) chipsets are now enabling these technologies to be integrated at the end-device level, which could mitigate security and privacy concerns while ensuring enabled services can be delivered consistently without interruption. ABI Research, a global tech market advisory firm, estimates over 2 billion end devices will be shipped with a dedicated chipset for ambient sound or natural language processing by 2026.
'NLP and ambient sound processing will follow the same cloud-to-edge evolutionary path as machine vision. Through efficient hardware and model compression technologies, this technology now requires fewer resources and can be fully embedded in end devices,' says Lian Jye Su, Principal Analyst, Artificial Intelligence and Machine Learning at ABI Research. 'At the moment, most of the implementations focus on simple tasks, such as wake word detection, scene recognition, and voice biometrics. However, moving forward, AI-enabled devices will feature more complex audio and voice processing applications.'
The popularity of Alexa, Google Assistant, Siri, and various chatbots in the enterprise sector has led to the boom of the voice user interface. In June 2021, Apple announced that Siri would process certain requests and actions offline. Such implementation frees Siri from constant internet connectivity and significantly improves the iPhone user's experience. ABI Research expects Apple's competitors, especially Google, with its latest Tensor System-on-a-Chip (SoC), to follow suit and offer similar support on its Android operating systems currently supporting billions of consumer and connected devices .
In the enterprise sector, edge-based ambient sound processing remains in the nascent stage, with Infineon being one of the very early supplier of this technology. Increasingly, other sensor vendors are trialing the analysis of machine sound for uptime...
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