(2016) Perceptual models for sound field analysis and synthesis. University of Southampton, Engineering and the Environment, Doctoral Thesis, 344pp.
Abstract
This thesis describes the methodology that has been followed for the implementation of a biologically inspired auditory signal processing model that predicts human sound localization of stationary acoustic sound sources in 3D space. The intended use of the model is for the evaluation of audio systems. An attempt is made to develop both a theoretical and mathematical framework that can be adopted as a generalized theory for the development of biologically inspired models of human sound localization. The model makes use of a combination of monaural and binaural cues and within a psychoacoustical framework makes predictions of the location of a sound source given the sound presence signals delivered to the ears. Finally, the effectiveness of the model is evaluated through comparison with the experimental results of a listening test in which a number of human subjects made judgements of the location of real sound sources in 3D space under anechoic conditions.
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- Faculties (pre 2018 reorg) > Faculty of Engineering and the Environment (pre 2018 reorg) > Inst. Sound & Vibration Research (pre 2018 reorg) > Signal Processing & Control Grp (pre 2018 reorg)
Current Faculties > Faculty of Engineering and Physical Sciences > School of Engineering > Institute of Sound and Vibration Research > Inst. Sound & Vibration Research (pre 2018 reorg) > Signal Processing & Control Grp (pre 2018 reorg)
Institute of Sound and Vibration Research > Inst. Sound & Vibration Research (pre 2018 reorg) > Signal Processing & Control Grp (pre 2018 reorg)
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