Perceived audio quality for streaming stereo music

Andrew Hines, Jan Skoglund, Eoin Gillen, Anil Kokaram, Damien Kelly, Naomi Harte

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Users of audio-visual streaming services expect an ever increasing quality of experience. Channel bandwidth remains a bottleneck commonly addressed with lossy compression schemes for both the video and audio streams. Anecdotal evidence suggests a strongly perceived link between bit rate and quality. This paper presents three audio quality listening experiments using the ITU MUSHRA methodology to assess a number of audio codecs typically used by streaming services. They were assessed for a range of bit rates using three presentation modes: consumer and studio quality headphones and loudspeakers. Our results indicate that with consumer quality headphones, listeners were not differentiating between codecs with bit rates greater than 48 kb/s (p>=0.228). For studio quality headphones and loudspeakers aac-lc at 128 kb/s and higher was differentiated over other codecs (p<=0.001). The results provide insights into quality of experience that will guide future development of objective audio quality metrics.

Original languageEnglish
Title of host publicationMM 2014 - Proceedings of the 2014 ACM Conference on Multimedia
PublisherAssociation for Computing Machinery
Pages1173-1176
Number of pages4
ISBN (Electronic)9781450330633
DOIs
Publication statusPublished - 3 Nov 2014
Externally publishedYes
Event2014 ACM Conference on Multimedia, MM 2014 - Orlando, United States
Duration: 3 Nov 20147 Nov 2014

Publication series

NameMM 2014 - Proceedings of the 2014 ACM Conference on Multimedia

Conference

Conference2014 ACM Conference on Multimedia, MM 2014
Country/TerritoryUnited States
CityOrlando
Period3/11/147/11/14

Keywords

  • Audio codec
  • Audio quality
  • MUSHRA
  • YouTube

Fingerprint

Dive into the research topics of 'Perceived audio quality for streaming stereo music'. Together they form a unique fingerprint.

Cite this