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Mobile Platform Acoustical Noise Identification Using Internal and Reference Microphones

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Proposed paper addresses the problem of microphone noise. The performance of built-in microphones in laptops and other mobile devices can suffer in the presence of noise. Identifying noisy components and separating the internal from external origins allows for the noise sources to be root caused and eliminated. This capability is crucial when developing new platforms. The proposed method employs a series of recordings, conducted using both built-in and reference microphones. The recordings are obtained under different operating conditions of the device, e.g., AC vs battery power. The recordings are then analyzed to identify different characteristics resulting from use of the internal versus the external microphone. Based on these results noise components can be separated and the potential noise source identified.

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