Dr Khan Baykaner


Qualifications: BMus (Tonmeister)

Phone: Work: 01483 68 2257
Room no: 09 BC 03

Office hours

09:00 - 17:00

Further information


Khan Baykaner graduated from the University of Surrey with a First Class Honours degree on the Tonmeister course, during which he spent a year working for an acoustics consultancy and produced a dissertation on speech recognition systems. He has now returned to Surrey to study for a PhD in psychoacoustics, focusing specifically on auditory masking and speech intelligibility in auditory interference scenarios.

Khan is a pianist, guitarist and composer, who enjoys writing in a range of styles from from trance to romantic piano and orchestral works. In a somewhat unrelated area of interest Khan has obtained a 1st dan black sash in Northern Shaolin Chang Chuen Shu (Long Fist Style Kung Fu), and avidly continues his more than ten years of training as a martial artist.

Research Project

Many scenarios are conceivable in which multiple listeners may want to hear different audio programmes while occupying the same room. A system capable of producing separate 'zones' of audio over loudspeakers is said to produce 'personal sound zones'. The Perceptually Optimised Sound Zones (posz.org) project is a collaboration between Bang and Olufsen and the University of Surrey. The project aims to design a system capable of producing personal sound zones. Alongside this system a model (which evaluates a list of acoustic parameters in order to estimate the perceptual experience of the listener) will be developed in order to optimise the performance of the sound zone system.

Khan Baykaner's research will focus on the evaluation model which will predict masking thresholds and speech intelligibility within the sound zones. The work will allow for estimations of the acceptability of a listening environment, in order that side by side sound zoning methods can be compared.

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Last Modified: Monday 21 November 2016 10:29:20 by pj0010
Expiry Date: Saturday 19 January 2013 11:16:31
Assembly date: Tue Mar 21 09:30:04 GMT 2017
Content ID: 168032
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