Modulation Spectrum Based Beamforming For Speech Enhancement
2017 IEEE WORKSHOP ON APPLICATIONS OF SIGNAL PROCESSING TO AUDIO AND ACOUSTICS (WASPAA)(2017)
摘要
In array signal processing, beamforming is a common technique to align time differences between multi-microphone signals. Beam-formers, however, have limits to reduce noise specially in the presence of reverberation. In this paper, we incorporate modulation properties of speech into a pre-processing algorithm to improve beamformer performance under combined noise-plus-reverberation conditions. In the modulation domain, signals are decomposed into modulators and carriers. Here, we propose to filter and perform short-time spectral subtraction of the modulator as a pre-processing step prior to beamforming, which in turn, is designed to align time differences between carriers of the array signal and to minimize the residual noise of the pre-processed signals. Simulation results with several noise-only and noise-plus-reverberation conditions show that the modulation pre-processing has improved the minimum power distortionless response beamformer by up to 7.4dB in the signal-to-noise ratio and 0.6 points in perceptual evaluation of speech quality (PESQ) score.
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关键词
Speech enhancement, noise reduction, modulation domain, spectral subtraction, beamforming
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