Chengshi Zheng

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This paper proposes an adaptive averaging periodogram (AAP) spectral estimator based on the structure of noise power spectral density (NPSD) for speech enhancement, which will be herein referred to as NPSD-AAP. In the proposed spectral estimator, both the raw periodogram and the NPSD are smoothed over frequency to reduce their variances if the NPSD has a(More)
—This paper studies the statistical properties of the gain functions, which are often used for two-channel post-filtering (TC-PF) algorithms. We reveal that the smoothing factor has a significant impact on both noise reduction and musical noise. When the smoothing factor increases, noise reduction can be improved and musical noise can be reduced(More)
Most previously proposed dual-channel coherent-to-diffuse-ratio (CDR) estimators are based on a free-field model. When used for binaural signals, e.g., for dereverberation in binaural hearing aids, their performance may degrade due to the influence of the head, even when the direction-of-arrival of the desired speaker is exactly known. In this paper, the(More)
Although there are numerous papers describing single-channel noise reduction strategies to improve speech perception in a noisy environment, few studies have comprehensively evaluated the effects of noise reduction algorithms on speech quality for hearing impaired (HI). A model-based sparse coding shrinkage (SCS) algorithm has been developed, and has shown(More)