The Cocktail party problem, which is tracing and identifying a specific speaker's speech
while numerous speakers communicate concurrently is one of the crucial problems still to be …

Over the past few decades, computational methods have been developed to estimate
perceptual audio quality. These methods, also referred to as objective quality measures, are …

Radio frequency interference is a major issue for synthetic aperture radar (SAR) imaging.
Especially with the presence of wideband interference (WBI), the signal-to-interference ratio …

A speech pre-processing algorithm is presented that improves the speech intelligibility in
noise for the near-end listener. The algorithm improves intelligibility by optimally …

Speech signals observed from distantly placed microphones may have some acoustic
interference, such as noise and reverberation. These may lead to the degradation of the …

Time-frequency masking is a common solution for the single-channel source separation
(SCSS) problem where the goal is to find a time-frequency mask that separates the …

As an active radar system, synthetic aperture radar (SAR) is often affected by different types
of strong, complex, and variable electromagnetic interferences, which severely degrades the …

In this paper, we propose bounded generalized Gaussian mixture model with independent
component analysis (ICA). One limitation in ICA is that it assumes the sources to be …

面对日渐复杂的电磁干扰环境, 合成孔径雷达干扰抑制已成为亟须解决的难题.
现有主流合成孔径雷达非参数/参数化干扰抑制方法, 严重依赖干扰先验和强能量差异 …

Speech enhancement is crucial both for human and machine listening applications. Over the
last decade, the use of deep learning for speech enhancement has resulted in tremendous …