Adapting the Quality of Experience Framework for Audio Archive Evaluation

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Title: Adapting the Quality of Experience Framework for Audio Archive Evaluation
Authors: Ragano, AlessandroBenetos, EmmanouilHines, Andrew
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Date: 7-Jun-2019
Online since: 2020-05-05T14:28:51Z
Abstract: Perceived quality of historical audio material that is subjected to digitisation and restoration is typically evaluated by individual judgements or with inappropriate objective quality models. This paper presents a Quality of Experience (QoE) framework for predicting perceived audio quality of sound archives. The approach consists in adapting concepts used in QoE evaluation to digital audio archives. Limitations of current objective quality models employed in audio archives are provided and reasons why a QoE-based framework can overcome these limitations are discussed. This paper shows that applying a QoE framework to audio archives is feasible and it helps to identify the stages, stakeholders and models for a QoE centric approach.
Funding Details: Science Foundation Ireland
metadata.dc.description.othersponsorship: RAEng Research Fellowship
Turing Fellowship
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2019 IEEE
Keywords: Quality of experienceDigital audio archivesDigital audio restoration
DOI: 10.1109/QoMEX.2019.8743302
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Language: en
Status of Item: Peer reviewed
Is part of: 2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX)
Conference Details: The 11th International Conference on Quality of Multimedia Experience (QoMEX 2019), Berlin, Germany, 5-7 June 2019
ISBN: 9781538682128
Appears in Collections:Computer Science Research Collection

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