In this paper, we cast discriminative training problems into standard linear programming (LP) optimization. Besides being convex and having globally optimal solution(s), LP progra...
This paper proposes a speech enhancement method for signals contaminated by room reverberation and additive background noise. The following conditions are assumed: (1) The spectra...
The media industry is challenged to find new lines of business as technology redefines content, distribution and customer expectations. This is a case study of Oxygen Media where ...
Abstract—In this paper we propose a low complexity frequency domain channel estimator for pilot-symbol-assisted (PSA) orthogonal frequency division multiplexing (OFDM) systems in...
Most up-to-date well-behaved topic-based summarization systems are built upon the extractive framework. They score the sentences based on the associated features by manually assig...