Julia Tomasweska shaking hands with a man at the ACOUSTICS 2024 conference.
Julia Tomasweska shaking hands with a man at the ACOUSTICS 2024 conference.

Electrical and Electronic Engineering PhD student wins 'best paper' at ACOUSTICS conference

Intro

Julia Tomaszewska, an Electrical and Electronic Engineering PhD student at the School of Computing and Engineering (SCE), has won 'best paper' at ACOUSTICS 2024 in Manchester. 

The conference was co-organised by professional body the Institute of Acoustics and the research community The UK Acoustics Network.

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Julia’s work aims to develop novel algorithms for the diagnosis of a range of pathologies of the larynx, including the screening of developing cancerous lesions. 

“Comparative Analysis of MFCC and GTCC Performance in Laryngeal Pathology Detection Based on Electroglottographic Signals” is the title of Julia's paper, co-authored by Dr Christos Chousidis and Dr Apostolos Georgakis. It is part of the research conducted in the Signal Processing, Electronics, Automation and Robotics (SPEAR) interdisciplinary research group at SCE.

The paper presents their latest research findings as to the superiority of the feature extraction method, called Gammatone Cepstral Coefficients, to the recognition of pathological patterns related to laryngeal disorders in electroglottographic signals. It also demonstrates the advantages of using bio-impedance signals obtained during continuous speech as opposed to the common practice of using sustained phonation.

I am honoured to have received this prestigious award and would like to thank the Institute of Acoustics and the UK Acoustics Network for it. I would also like to thank UWL for supporting my studies via a VC Scholarship, and for kindly funding my attendance to the conference via a travel grant,”

Julia commented.

Her supervisor Dr Apostolos Georgakis, Associate Professor in Electrical and Electronic Engineering at SCE, said,

I am delighted for this recognition of Julia’s hard and innovative work. We look forward to deepening our understanding of the underlying processes and delivering increasingly accurate methods of diagnosis.” 

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