Perceptual simplification for model-based binaural room auralisation

Design of computationally efficient yet perceptually realistic room auralisation algorithms require a careful selection of the early reflections to be auralised. A perception-based simplification algorithm is presented for the selection of the early reflections using a criterion which depends both on the arrival time and on the angle of incidence of the early reflection with respect to the listener. Results of two subjective tests for the evaluation of the proposed algorithm are presented. The proposed algorithm is shown to provide a significant reduction in the number of early reflections without significantly affecting the tested localisational or spatial qualities of auralisation.


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Özeç, Mustafa Onur; Tuncer, Temel Engin; Department of Electrical and Electronics Engineering (2011)
An important step for the design of direction finding systems is the performance evaluation using numeric electromagnetic simulation tools. In this thesis, a method is presented for both modeling and simulation in a numeric electromagnetic simulation tool FEKO. The method relies on the data generated by FEKO. The data is then processed by correlative interferometer algorithm. This process is implemented in a MATLAB environment. Different types of antenna arrays including dipole, monopole and discone antenna...
Retraction Free Motion Approach and Its Application in Automated Robotic Edge Finishing and Inspection Processes
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In this paper, a motion generation algorithm for a six Degrees of Freedom (DoF) robotic hand in a static environment is presented. The purpose of developing this method is to be used in the path generation of the end-effector for edge finishing and inspection processes by utilizing the CAD model of the considered workpiece. Nonetheless, the proposed algorithm may be extended to be applicable for other similar manufacturing processes. A software package programmed in the application programming interface (AP...
Perceptual quality preserving adversarial attacks
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Deep learning is used in various succesful computer vision applications such as image classification. Deep neural networks (DNN) especially convolutional neural networks have reached above human level accuracy rates for image classification tasks. While DNNs have solved the image classification task and enabled its use in many practical applications, recent research has unveiled some properties which could degrade their performance. Adversarial images are samples that are intentionally modified by adding no...
Extended Target Tracking Using Polynomials With Applications to Road-Map Estimation
Lundquist, Christian; Orguner, Umut; Gustafsson, Fredrik (Institute of Electrical and Electronics Engineers (IEEE), 2011-01-01)
This paper presents an extended target tracking framework which uses polynomials in order to model extended objects in the scene of interest from imagery sensor data. State-space models are proposed for the extended objects which enables the use of Kalman filters in tracking. Different methodologies of designing measurement equations are investigated. A general target tracking algorithm that utilizes a specific data association method for the extended targets is presented. The overall algorithm must always ...
Scattering delay networks with aperture size control for simulating coupled volume acoustics
Atalay, Timuçin Berk; Hacıhabiboğlu, Hüseyin; Department of Modeling and Simulation (2019)
Artificial reverberators provide a computationally viable alternative to full-scale room acoustics simulation methods when used in interactive, immersive systems. Scattering delay network (SDN) is a relatively recent artificial reverberator that allows direct parametric control over the geometry of a simulated rectangular enclosure as well the directional characteristics of the simulated sound sources and microphones. Coupled volume SDN aims to extend the SDN structure for enclosures coupled via an aperture...
Citation Formats
H. Hacıhabiboğlu, “Perceptual simplification for model-based binaural room auralisation,” APPLIED ACOUSTICS, pp. 715–727, 2008, Accessed: 00, 2020. [Online]. Available: