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In this contribution, a generic framework for linearly-constrained multichannel noise and interference suppression algorithms is presented. It is derived from a linearly-constrained minimum mutual information (LCMMI) criterion between mutually statistically independent desired and undesired components, which also accounts for three fundamental signal properties characteristic, e.g., for speech and...
The ability to automatically recognize sound events in real-life conditions is an important part of applications such as acoustic surveillance and smart home automation. The main challenge of these applications is that the sound sources often come from unknown distances under different acoustic environments, which are also noisy and reverberant. Among the noises in the home, the most difficult to...
It is a challenging issue to design a robust broad-band direction-of-arrival (DOA) estimator at the cost of low computational complexity. Many algorithms accelerate localization while maintaining robustness by optimizing the grid search. Few algorithms pay attention to the cost function of DOA estimators. This paper presents a far-filed DOA estimator based upon a novel cost function for planar arrays...
Direction-of-arrival (DOA) estimation of a speech source has generated great interest in recent years. Traditional methods, such as the steered response power (SRP) estimator, make use of a multi-element microphone array and can perform well in the presence of moderate noises and reverberations. Those algorithms are particularly good for Gaussian source signals, while for non-Gaussian speech signals,...
Acoustic sensor arrays are recognized as an important development for field studies of animal behavior and ecology. While birds live in a 3D world and all dimensions seem important for most birds, use of these arrays has been limited almost entirely to 2D. A notable exception was the development by S. Asgari of Approximate Maximum Likelihood methods for 3D, tested with recorded sounds. Here we describe...
The under-determined problem in Higher Order Ambisonics (HOA) makes it hard for larger accurate reproduction area especially at high frequencies. In this paper, the least absolute shrinkage and selection operator (LASSO) algorithm is used to solve the problem by obtaining the sparse representation of the original plane wave field. The algorithm minimizes the squared error between the original and...
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