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A speech dereverberation method is proposed that is robust against background noise. In contrast to conventional methods based on the linear prediction of the given microphone input signal, in which the linear prediction coefficients are not fully optimized when there is background noise, the proposed method optimizes the coefficients by linear prediction(More)
A new method for solving the adaptive-group-testing probis proposed. To solve the problem that the conventional method for non-adaptive group testing by Boolean compressive sensing needs a larger number of tests when the pool size is not optimized, the proposed method controls the pool size for each test. The control criterion is the expected information(More)
A dereverberation technique has been developed that optimally combines multichannel inverse filtering (MIF), beamforming (BF), and non-linear reverberation suppression (NRS). It is robust against acoustic transfer function (ATF) fluctuations and creates less distortion than the NRS alone. The three components are optimally combined from a probabilistic(More)
In this paper, we propose a multichannel speech dereverberation and separation technique which is effective even when there are multiple speakers and each speaker's transfer function is time-varying due to fluctuation of the corresponding speaker's head. For robustness against fluctuation, the proposed method optimizes linear filtering with non-linear(More)
In this paper, we propose a head-orientation estimation method from multichannel acoustic signals. Sharpness of a DOA histogram which is extracted by using the sparseness based DOA estimation method varies depending on the head orientation of a speaker. The proposed method utilizes this phenomenon to estimate the head orientation of the speaker. The(More)
This paper describes an approach in improving the performance of the position sensorless control of an interior permanent-magnet synchronous motor using parameter identification. The model-based sensorless method requires accurate motor parameters. At low speed, the resistance variation degrades the accuracy of position estimation. The identified parameter(More)
We propose an optimized speech enhancement method that combines acoustic echo reduction, speech dereverberation, and noise reduction in a unified framework. Normally, partial optimization of acoustic echo reduction, speech dereverberation, and noise reduction does not lead to total optimization. A cascade method of multiple functions causes mutual(More)
In this paper, we propose a novel acoustic-echo-reduction technique at a time-frequency domain, which is optimally combined with speech enhancement. Unlike conventional echo reduction techniques which minimizes only residual power of the far-end acoustic echo signal, the proposed method minimizes summation of the residual echo signal and distortion of the(More)