Amir R. Moghimi

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Array-based time-frequency masking algorithms are an important type of nonlinear array processing. In this paper we develop a model that characterizes the directional sensitivity of these algorithms in a fashion similar to commonly-used the beam patterns used to characterize linear array processing. Two alternative formulations are described, and it is(More)
In the context of array processing for speech and audio applications, linear beamforming has long been the approach of choice, for reasons including good performance, robustness and analytical simplicity. Nevertheless, various nonlinear techniques, typically based on the study of auditory scene analysis, have also been of interest. The class of techniques(More)
Over the years, a variety of array processing techniques have been applied to the problem of enhancing degraded speech to improve automatic speech recognition. In this context, linear beamforming has long been the approach of choice, for reasons including good performance, robustness and analytical simplicity. While various nonlinear techniques – typically(More)
Over the years, a variety of array processing techniques have been applied to the problem of enhancing degraded speech to improve automatic speech recognition. In this context, linear beamforming has long been the approach of choice, for reasons including good performance, robustness and analytical simplicity. While various nonlinear techniques – typically(More)
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