In this paper we propose to use an instantaneous ICA method (BLUES) to separate the instruments in a real music stereo recording. We combine two strong separation techniques to segregate instruments from a mixture: ICA and binary time-frequency masking. By combining the methods, we are able to make use of the fact that the sources are differently distributed in both space, time and frequency. O...

A frequency bin-wise nonlinear masking algorithm is proposed in the spectrogram domain for speech segregation in convolutive mixtures. The contributive weight from each speech source to a time-frequency unit of the mixture spectrogram is estimated by a nonlinear function based on location cues. For each sound source, a non-binary mask is formed from the estimated weights and is multiplied to th...

In this chapter, we will deal with cluttering issues associated with the visualization of a high number of icons, representing Points of Interest, on mobile maps. Clutter is a frequently occuring problem that makes it difficult to understand the visualization and has the even more critical effect of masking data. As the user zooms out, the positions of icons increasingly converge until they par...

This Letter introduces a technique for performing binary adaptive optics, which is carried out by optical components only, without the help of any electronic or optoelectronic device. In this technique, interferogram produced point diffraction interferometer modulates light-driven crystal. The modulated crystal may produce pupil-plane only-phase only-amplitude masks to mitigate phase aberration...

This paper addresses the problem of separating concurrent speech through a spatial filtering stage and a subsequent time-frequency masking stage. These stages complement each other by first exploiting the spatial diversity and then making use of the fact that different speech signals rarely occupy the same frequency bins at a time. The novelty of the paper consists in the use of auditorymotivat...

In a previous study, we proposed an alternative masking criterion for binary mask estimation based on the underlying linguistic information. We estimated this mask by selecting from a set of candidate masks at each frame based on the hypotheses from an ASR system. Our previous system provided an 8% reduction in WER. In this work, we present an improved method for selecting the correct candidate...

This paper describes a novel method for partitioning image into meaningful segments. The proposed method employs watershed transform, a well-known image segmentation technique. Along with that, it uses various auxiliary schemes such as Binary Gradient Masking, dilation which segment the image in proper way. The algorithm proposed in this paper considers all these methods in effective way and ta...

The Modified Bark Spectral Distortion (MBSD), used for an objective speech quality measure, was presented previously [1, 2]. The MBSD measure estimates speech distortion in loudness domain taking into account the noise masking threshold in order to include only audible distortions in the calculation of the distortion measure. Preliminary simulation results have shown improvement of the MBSD ove...