Thesis Defense - Çağlar İşlek (MSEE)

Çağlar İşlek - M.Sc. Electrical Electronics Engineering

Asst. Prof. Cenk Demiroğlu - Advisor

ON THE CORRELATION OF PSYCHOACOUSTIC
METRICS WITH MUSHRA-BASED SUBJECTIVE
SOUND QUALITY PERCEPTION FOR TELEVISIONS

Date: 09.08.2019

Time: 14:00

Location: AB1 246

Thesis Committee: 

Asst. Prof. Cenk Demiroğlu,  Özyeğin University

Prof. Taylan Akdoğan,  Özyeğin University

Prof. Feridun Öziş, Dokuz Eylül University

Abstract

Even though the loudspeaker technologies used in televisions (TVs) and objective sound quality assessment techniques had continuously advanced over the years, the literature on automatic sound quality assessment in the TV domain is still insufficient and scarce. Most of the TV manufacturers use acoustical and electrical measurement
methods to evaluate the sound quality of TVs. However, in real life, how well these methods correlate with human perception has not been documented in the TV context. Quantifying those correlations may not only allow standardization between TV manufacturers but also can eliminate the cost of expensive and time-consuming subjective jury-testing processes. The aim of this study is two-fold. One goal is to propose subjective and objective test guidelines that can be used for TV manufacturers for sound quality assessment. Whereas, the second goal is to analyze the correlation between some of the commonly-used objective measures and the subjective perception of TV sound quality as measured with the MUSHRA test (ITU-1534). To that end, in this thesis, we describe our carefully designed subjective and objective test setup and present the correlation analysis results.

Bio

Çağlar İşlek is a graduate student of electronics engineering at Özyeğin University, Istanbul, Turkey. He received his license degree in electrical and electronics engineering at Dokuz Eylul University in 2015. After he received his undergraduate degree in 2015, he started to work as a test engineer at Vestel Elektronik, Manisa, Turkey. He
has been working on the testing of acoustical performance of Television products for 4 years. He has been working on the acoustical performance of smart voice assistant devices recently.