We propose a new type of audio feature (HFCC-ENS) as well as an unsupervised method for detecting short sequences of spoken words (key-phrases) within long speech recordings. Our ...
In this paper, we propose a novel method to localize (or track) a foreground object and segment the foreground object from the surrounding background with occlusions for a moving ...
The development of real-time image quality assessment algorithms is an important direction on which little research has focused. This paper presents a design of real-time implemen...
Signal Sequence Labeling consists in predicting a sequence of labels given an observed sequence of samples. A naive way is to filter the signal in order to reduce the noise and t...
Expressing the similarity between musical streams is a challenging task as it involves the understanding of many factors which are most often blended into one information channel:...
The paper characterizes the class of all concave resource allocation problems in interference coupled wireless systems. An axiomatic framework for interference functions proposed ...
Concentration of measure inequalities are at the heart of much theoretical analysis of randomized compressive operators. Though commonly studied for dense matrices, in this paper ...
Michael B. Wakin, Jae Young Park, Han Lun Yap, Chr...
In this work we propose a Voice over IP (VoIP) call tracking scheme based on robust hashing of VoIP flows. In the proposed scheme the audio content of a possibly encrypted VoIP ...
The characterization of signals and images in manifolds often lead to efficient dimensionality reduction algorithms based on manifold distance computation for analysis or classi...
This paper addresses the problem of locating a single source from noisy range measurements in wireless sensor networks. An approximate solution to the maximum likelihood location ...