A Reactance-Domain Concurrent Blind Beamformer
نویسندگان
چکیده
منابع مشابه
A cepstral domain maximum likelihod beamformer for speech recognition
Recent work by Seltzer [1] indicates that classical approaches to beamforming, minimizing output power while enforcing a distortionless constraint, do not yield optimal results in terms of word error rate (WER) on speech recognition task. This problem can be traced back to the mismatch between the target criterion of classical adaptive beamformers, which is optimization of the signal to noise r...
متن کاملA Cepstral Domain Maximum Likelihood Beamformer for Speech Recognition
Recent work by Seltzer [1] indicates that classical approaches to beamforming, minimizing output power while enforcing a distortionless constraint, do not yield optimal results in terms of word error rate (WER) on speech recognition task. This problem can be traced back to the mismatch between the target criterion of classical adaptive beamformers, which is optimization of the signal to noise r...
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Felix Antreich (IEEE M’06) received the diploma and the Ph.D. degree in Electrical Engineering and Information Technology from the Munich University of Technology (TUM), Munich, Germany, in 2003 and 2011, respectively. Since July 2003, he has been with the Institute of Communications and Navigation of the German Aerospace Center (DLR), Wessling-Oberpfaffenhofen, Germany. His research interests ...
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This paper presents a real time implementation of a blind beamformer for subband speech enhancement. The beamformer adaptively maximizes the statistical kurtosis measure of the beamformer’s output signal. Speech carries high kurtosis and noise often exhibit lower kurtosis. Hence, maximization of the output signal’s kurtosis enhances speech, in general. The implementation is carried out on a nov...
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ژورنال
عنوان ژورنال: Journal of Communication and Information Systems
سال: 2006
ISSN: 1980-6604
DOI: 10.14209/jcis.2006.17