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Compared with capacity-achieving dirty paper coding, block diagonalization (BD) algorithm is known as a suboptimal but more practical beamforming scheme for multiuser MIMO downlink systems with multiantenna users. However BD suffers from two major drawbacks: the dimensionality constraint on antennas arrangement and the difficulty in handling spatially correlated users. User selection capable of selecting...
In this study, we specifically address the problem of in-vehicle voice activity detection (VAD), which has a significant importance for the speech controlled intelligent vehicle. A novel VAD system is proposed based on microphone array beam- forming and discriminative Gaussian mixture model. As a binary classification problem, the features and classifiers are explored under the in-vehicle acoustic...
This paper addresses the problem of automatic beamforming for blind extraction of speech in a music environment, using multiple microphones. A new criterion is proposed based on the variance of the spectral flux (VSF), which is shown to be a compound measure of the Kurtosis and across-time correlation for the time-frequency domain signals. Spectral flux (SF) had been adopted as a feature that distinguishes...
The purpose of this study is to investigate the performance of speech presence (SP) microphone array beamforming. When the presence uncertainty of the desired speech is considered, noise reduction is greatly achieved while preserving low speech distortion level. Furthermore, we propose a novel model based speech presence probability (SPP) estimator, exploring both the sinusoid structure of speech...
The problem of uncertain direction-of-arrival (DOA) for narrowband sources has been addressed using adaptive Bayesian beamforming[2,3]. In this study, we present a wideband Bayesian beamforming technique based on the coherent signal-subpace transform (CSST). CSST focuses the wideband data onto a single narrowband to allow for a narrowband Bayesian beamformer, which in turn provides the data-driven...
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