We propose a two-stage mask estimation approach to robust speaker verification (SV) in noise environments. We consider a practical semi-blind SV scenario: the location of the target speaker is fixed while the locations of all interferers are unknown. In the first stage, we use a dual-microphone and a semi-blind degenerate unmixing estimation technique (DUET) to estimate an initial binary mask. ...

A novel digital halftoning technique, by which the halftoning is achieved by a pixelwise comparison of the grayscale image to an array (halftone screen), the blue-noise mask, is presented. This mask is designed so that the halftone image has blue-noise (high-frequency) characteristics in the frequency domain. The algorithm for the construction of the blue-noise mask and an algorithm for the con...

Monaural speech separation is a fundamental problem in robust speech processing. Recently, deep neural network (DNN) based speech separation methods, which predict either clean speech or an ideal time-frequency mask, have demonstrated remarkable performance improvement. However, a single DNN with a given window length does not leverage contextual information sufficiently, and the differences be...

A unique binary four-point approximating subdivision scheme has been developed in which one part of formula have stationary mask and other the non-stationary mask. The resulting curves smoothness C3 continuous for wider range shape control parameter. role parameter depicted using square form discrete points.

In this paper we describe the application of the Golden Ratio to three-dimensional facial scans. The Golden Ratio is believed to be a blueprint for facial features that conform to beauty. Faces are scanned using the Minolta VI-700 range data scanner. The acquired 3D meshes are viewed and manipulated using 3DS Max and MAXScript. A Golden Mask, constructed based on the Golden Ratio is used to ind...