Rank-1 constrained Multichannel Wiener Filter for speech recognition in noisy environments
نویسندگان
چکیده
منابع مشابه
Rank-1 constrained Multichannel Wiener Filter for speech recognition in noisy environments
Multichannel linear filters, such as the Multichannel Wiener Filter (MWF) and the Generalized Eigenvalue (GEV) beamformer are popular signal processing techniques which can improve speech recognition performance. In this paper, we present an experimental study on these linear filters in a specific speech recognition task, namely the CHiME-4 challenge, which features real recordings in multiple ...
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The accuracy of speech recognition systems degrades severely when the systems are operated in adverse acoustical environments. In recent years many approaches have been developed to address the problem of robust speech recognition, using feature-normalization algorithms, microphone arrays, representations based on human hearing, and other approaches. Nevertheless, to date the improvement in rec...
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Binaural noise-reduction techniques based on Multichannel Wiener filter (MWF) have been reported as promissory candidates to be used in binaural hearing aids because of their effective SNR improvement at any arbitrary direction of arrival of the target signal and the preservation of localization cues. There are different MWF techniques derived in the FFT domain. The use of an FFT-based processi...
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ژورنال
عنوان ژورنال: Computer Speech & Language
سال: 2018
ISSN: 0885-2308
DOI: 10.1016/j.csl.2017.11.003