Robustness Comparison of Moving Convolutive Source Separation Techniques

Kornycky, Josef
Günel Kılıç, Banu
Kondoz, Ahmet
A multitude of convolutive blind source separation algorithms exist, a small number of which can deal with moving sources. The main assumption for moving source algorithms is that for a small amount of time the sources are approximately stationary and hence the mixing conditions are slowly varying. In reality, speech sources are likely to fall silent and hence the mixing conditions will jump to new values. This paper compares a number of blind source separation algorithms focusing on robustness to source and jammer movement. Acoustic models of a single reflector, a studio and a meeting room are used to generate the source mixtures. In addition, weight robustness is assessed using real world recordings from a studio.


Numerical Improvement of Terahertz Time-Domain Spectroscopic Measurements
Koseoglu, D.; Berberoglu, H.; Altan, Hakan (2009-11-06)
We have developed an algorithm to efficiently eliminate unwanted reflections typically observed in the data obtained by Terahertz time-domain spectroscopic (THz-TDS) methods. The algorithm works by eliminating the reflections from the boundaries. The numerical improvement of the data allows better analysis of the critical parameters obtained by THz-TDS systems.
Performance evaluation of metaheuristic search techniques in the optimum design of real size pin jointed structures
Hasançebi, Oğuzhan; Dogan, E.; Erdal, F.; Saka, M. P. (2009-03-01)
In recent years a number of metaheuristic search techniques have been widely used in developing structural optimization algorithms. Amongst these techniques are genetic algorithms, simulated annealing, evolution strategies, particle swarm optimizer, tabu search, ant colony optimization and harmony search. The primary goal of this paper is to objectively evaluate the performance of abovementioned seven techniques in optimum design of pin jointed structures. First, a verification of the algorithms used to imp...
Evaluation of Sparsity-based Methods for Parameterized Source Separation
Baskaya, Hasan Can; Öktem, Sevinç Figen (2020-10-07)
Parametric reconstruction problems arise in many areas such as array processing, wireless communication, source separation, and spectroscopy. In a parametric recovery problem, the unknown model parameters in each superimposed signal are estimated from noisy observations. Sparsity-based methods used in compressive sensing are also applied to parametric recovery problems. These methods discretize the parameter space to form a dictionary whose atoms correspond to candidate parameter values, represent the data ...
Comparison of Subjective and Objective Evaluation Methods for Audio Source Separation
Josef, Kornycky; Günel Kılıç, Banu; Ahmet, Kondoz (2008-01-01)
The evaluation of audio separation algorithms can either be performed objectively by calculation of numerical measures, or subjectively through listening tests. Although objective evaluation is inherently more straightforward, subjective listening tests are still essential in determining the perceived quality of separation. This paper aims to find relationships between objective and subjective results so that numerical values can be translated into perceptual criteria. A generic audio source separatio...
Clustering frequent navigation patterns from website logs by using ontology and temporal information
Kilic, Sefa; Karagöz, Pınar; Toroslu, İsmail Hakkı (2013-11-22)
In this work, clustering algorithms are used in order to group similar frequent sequences of Web page visits. A new sequence is compared with all clusters and it is assigned to the most similar one. This work can be used for predicting and prefetching the next page user will visit or for helping the navigation of user in the website. They can also be used to improve the structure of website for easier navigation. In this study the effect of time spent on each web page during the session is also analyzed. © ...
Citation Formats
J. Kornycky, B. Günel Kılıç, and A. Kondoz, “Robustness Comparison of Moving Convolutive Source Separation Techniques,” 2009, Accessed: 00, 2020. [Online]. Available: