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- W2568308529 abstract "Speech enhancement and separation are core problems in audio signal processing, with commercial applications in devices as diverse as mobile phones, conference call systems, hands-free systems, or hearing aids. In addition, they are crucial preprocessing steps for noise-robust automatic speech and speaker recognition. Many devices now have two to eight microphones. The enhancement and separation capabilities offered by these multichannel interfaces are usually greater than those of single-channel interfaces. Research in speech enhancement and separation has followed two convergent paths, starting with microphone array processing and blind source separation, respectively. These communities are now strongly interrelated and routinely borrow ideas from each other. Yet, a comprehensive overview of the common foundations and the differences between these approaches is lacking at present. In this paper, we propose to fill this gap by analyzing a large number of established and recent techniques according to four transverse axes: 1) the acoustic impulse response model, 2) the spatial filter design criterion, 3) the parameter estimation algorithm, and 4) optional postfiltering. We conclude this overview paper by providing a list of software and data resources and by discussing perspectives and future trends in the field." @default.
- W2568308529 created "2017-01-13" @default.
- W2568308529 creator A5001052072 @default.
- W2568308529 creator A5065635001 @default.
- W2568308529 creator A5073788938 @default.
- W2568308529 creator A5077008345 @default.
- W2568308529 date "2017-04-01" @default.
- W2568308529 modified "2023-10-10" @default.
- W2568308529 title "A Consolidated Perspective on Multimicrophone Speech Enhancement and Source Separation" @default.
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