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4. Data-Driven Wind Speed Estimation Using Multiple Microphones

Data-Driven Wind Speed Estimation Using Multiple Microphones

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IEEE ICASSP 2020 Virtual Conference May 2020

A deep neural network (DNN) based approach for estimating the speed of airflows using closely-spaced microphones is proposed. The spatial characteristics of wind noise measured with a small-aperture array are exploited, i.e., the low-frequency spatial coh

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Data-Driven Wind Speed Estimation Using Multiple Microphones

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A deep neural network (DNN) based approach for estimating the speed of airflows using closely-spaced microphones is proposed. The spatial characteristics of wind noise measured with a small-aperture array are exploited, i.e., the low-frequency spatial coh