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Acoustic images, or maps, of sound coming from spatially distributed sources, may be generated from microphone array data using algorithms such as beamforming.
The paper is concerned with the characterization of jet noise sources and jet airfoil interaction sources by using microphone array data.
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In beamforming analysis of microphone phased array data, the true acoustic field is convolved with the array׳s PSF.
The second one is a single channel from the microphone array, referred to as hands-free data (HF) henceforward.
The proposed new data utilization strategy based on multi-channel data, leverages upon the complementary information captured in microphone array speech to simultaneously perform beamforming and dereverberation.
Comparing to the use of single microphone, the main benefit of microphone array is the spatial information it can provide.
We used a nine-channel microphone array (Figure 6), and collected the test data using distant microphone arrays for four channels of microphones 6, 7, 8, and 9.
Four different microphone array methods are applied to analyze the simulated data sets.
Two sets of implementation results are given based on both simulations and data collected by a planar microphone array system.
For single-channel systems, one main channel data were selected from the microphone array.
One typical speech enhancement approach is microphone array signal processing, which uses spatial information obtained with multiple microphones [1].
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