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The small aperture microphone array becomes more and more popular in the consumer electronics. However, the small aperture usually limits the performance of the traditional DoA estimation methods. The differential microphone array (DMA) has attracted much attention, recently. The DMA has the frequency-independent beampatterns owing to the small size and the dipole is one of the basic types. In this...
Spatial aliasing is a challenging issue that faced by most multiple speech source localization methods. Small-size arrays are widely used to avoid or mitigate spatial aliasing. But they deteriorate the coherence in low frequencies and degrade the performance of localization. This paper proposes a phase difference regression method for multiple speech source localization on a planar array. The time...
The speech mask is widely used to separate multiple speech sources, wherein the time-frequency bins are classified into clusters that correspond to each source. For each source, the separated signal consists of the components on TF bins that are dominated by this source, whereas the components on the remaining bins are completely masked. Most separation methods ignored the masked components. In fact,...
Spatial aliasing and spatial resolution are the two issues faced by most multiple speech source localization methods. The histogram of time delays is a simple but effective method to deal with these two issues on linear arrays. But few methods were capable of applying the time delay histogram to directional-of-arrivals (DOAs) estimation using a planar array. This paper proposes a novel method to estimate...
The sparsity-based methods are widely used to localize multiple speech sources because of its high computational efficiency. But spatial aliasing is a challenging issue for sparsity-based speech source localization. For a pair of widely spaced microphones, there may be several candidates of time delays corresponding to a given phase difference in some high frequencies. Especially for planar arrays,...
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