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A Testbed for Adaptive Microphones in Ultra-Low-Power Systems

机译:超低功耗系统中的自适应麦克风测试台

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摘要

Smart cities bring new technological advances that help improve everyday life. One such improvement is the ability to map out a city based on a characteristic. The amount of acoustic noise in an environment has many impacts on human life and has the potential to be collected wirelessly. Unfortunately, systems made today would not have the battery life capabilities to handle such a high demand if continuous transmission was used. In this paper, the design of a testbed for a smart microphone system is presented. In order to promote power savings, an analog-to-digital converter (ADC) which dynamically switches between high and low power modes in response to environmental noise is presented. Specifically, the high power ADC mode is triggered from a spike in the acoustic noise level. Ideally, this would be configurable and allow for detection of different types of sound such as human voice or music. A framework for basic environmental sound collection is presented along with preliminary results of the testbed.
机译:智慧城市带来了有助于改善日常生活的新技术进步。这样的改进之一就是能够基于特征来绘制城市。环境中的声噪声量对人类生活有许多影响,并且有可能以无线方式收集。不幸的是,如果使用连续传输,今天制造的系统将没有电池寿命能力来满足如此高的要求。在本文中,介绍了用于智能麦克风系统的测试平台的设计。为了促进节能,提出了一种模数转换器(ADC),其响应于环境噪声而在高功率模式和低功率模式之间动态切换。具体来说,高功率ADC模式是由声学噪声电平的尖峰触发的。理想情况下,这将是可配置的,并允许检测不同类型的声音,例如人类语音或音乐。介绍了基本环境声音收集的框架以及测试平台的初步结果。

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