In this paper we present a novel algorithm called Suppression of Slowly-varying components and the Falling edge of the power envelope (SSF) to enhance spectral features for robust...
In Voice-over-IP, buffer delay and packet loss are two main factors effecting perceived conversational quality. A quality-based algorithm aims to seek an optimum balancing of dela...
In this paper we describe a system that separates signals by comparing the interaural time delays (ITDs) of their timefrequency components to a fixed threshold ITD. While in previ...
Chanwoo Kim, Richard M. Stern, Kiwan Eom, Jaewon L...
This paper proposes a new phase vocoder based method for shape invariant real-time modification of speech signals. The performance of the method with respect voiced and unvoiced s...
We formulate a novel problem of summarising entities with limited presentation budget on entity-relationship knowledge graphs and propose an efficient algorithm for solving this pr...
Marcin Sydow, Mariusz Pikula, Ralf Schenkel, Adam ...
As the importance and the value of exchanged data over the Internet or other media types are increasing, the search for the best solution to offer the necessary protection against...
Diaa Salama Abdul Minaam, Hatem M. Abdual-Kader, M...
In this paper, a recurrent neural network based fuzzy inference system (RNFIS) for prediction is proposed. A recurrent network is embedded in the RNFIS by adding feedback connecti...
The under-determined blind source separation (BSS) problem is usually solved using the sparse component analysis (SCA) technique. In SCA, the BSS is usually solved in two steps, w...
An image reconstruction algorithm using compressed sensing (CS) with deterministic matrices of second-order ReedMuller (RM) sequences is introduced. The 1D algorithm of Howard et ...
In this paper we propose an iterative algorithm for solving the problem of extracting a sparse source signal when a reference signal for the desired source signal is available. In...
Nasser Mourad, James P. Reilly, Gary Hasey, Duncan...