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In many practical environments, the desired speech signal is usually contaminated not only by stationary noise but also nonstationay interferences, such as competing speech. This paper proposes a speech enhancement method which can extract desired speech in a multiple interferences and reverberant environment. The proposed method uses transfer function ratio beamformer and multi-channel adaptive filter...
Human machine interface for speech processing often suffers from interferences which contain nonstationary signal, stationary signal and reverberation. In this paper, we consider two speech sources in the reverberant and noisy environment and we develop a speech enhancement approach to extract desired speech signal from the corrupt observations. The proposed method uses transfer function ratio beamformer,...
This work proposes an adaptive beamformer based on generalized sidelobe canceller (GSC) structure with novel blocking matrix design. The classical GSC presented by Griffiths and Jim suffers from desired signal cancellation problems due to the complicated acoustic environment. This work utilizes the pseudo-inverse property of matched filters and subarray structure to design a new blocking matrix of...
This work proposes a novel and robust adaptive speech enhancement system, which contains both time-domain and frequency-domain beamformers using Hinfin filtering approach in vehicle environments. A corresponding microphone array data acquisition hardware is also designed and implemented. Traditionally, mutually matched microphones are needed, but this requirement is not practical. To conquer this...
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