Digital audio watermarking has received increasing interest in the last years due to the wide range of applications it can be used for. This contribution presents a novel blind wa...
Giovanni Del Galdo, Juliane Borsum, Tobias Bliem, ...
The advent of Compressive Sensing has provided significant mathematical tools to enhance the sensing capabilities of hardware devices. In this paper we apply Compressive Sensing ...
The context-independent deep belief network (DBN) hidden Markov model (HMM) hybrid architecture has recently achieved promising results for phone recognition. In this work, we pro...
Mobile reception of digital TV often suffers from lost blocks and slices due to suboptimal channels. Inter-sequence error concealment reconstructs lost image blocks of distorted h...
The objective of this work is to develop and study the robustness of the zero frequency resonator (ZFR) based method for extraction of the fundamental frequency (F0) of speech sig...
Bayya Yegnanarayana, S. R. Mahadeva Prasanna, S. G...