Andreas Gaich, Mario Huemer,
"Influence of MEMS Microphone Imperfections on the Performance of First-Order Adaptive Differential Microphone Arrays"
: Computer Aided Systems Theory - EUROCAST 2017, Serie Lecture Notes in Computer Science (LNCS), Vol. 10672, Springer International Publishing, Cham, Seite(n) 170-178, 1-2018, ISBN: 978-3-319-74727-9
Original Titel:
Influence of MEMS Microphone Imperfections on the Performance of First-Order Adaptive Differential Microphone Arrays
Sprache des Titels:
Englisch
Original Buchtitel:
Computer Aided Systems Theory - EUROCAST 2017
Original Kurzfassung:
Abstract. In many speech applications the desired speaker is in the far field, i.e. in teleconferencing, hearing aids, hands-free communication in cars, home voice control, just to name a few. To still capture a clean speech signal in a noisy surrounding an acoustic beamformer can be used. Differential microphone arrays (DMAs) allow for compact microphone arrangements and show a reasonable speech enhancement performance. For an optimal performance the microphones used in the array have to be perfectly matched. In this paper, we investigate the effect of the microphone mismatch on the performance of first-order adaptive DMAs, given model data from state-of-the-art micro-electro-mechanical systems (MEMS) microphones. As an important outcome, our simulations show that the performance becomes independent of the mismatch with an increasing number of microphones used.
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