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ViSQOLAudio: An objective audio quality metric for low bitrate codecs
1.European Network on Quality of Experience in Multimedia Systems and Services (COST Action IC 1003), Qualinet white paper on definitions of quality of experience, 2012.
2. A. Hines, E. Gillen, J. Skoglund, D. Kelly, A. Kokaram, and N. Harte, Perceived Audio Quality for Streaming Stereo Music ( ACM Multimedia, Orlando, 2014).
3. R. Heusdens and S. van de Par, “ Rate-distortion optimal sinusoidal modeling of audio and speech using psychoacoustical matching pursuits,” in 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (May, 2002), Vol. 2, pp. II-1809–II-1812.
4. B. C. J. Moore, “ Masking in the human auditory system,” in Audio Engineering Society Conference: Collected Papers on Digital Audio Bit-Rate Reduction (May, 1996).
6. E. Zwicker and U. T. Zwicker, “ Audio engineering and psychoacoustics: Matching signals to the final receiver, the human auditory system,” J. Audio Eng. Soc. 39(3), 115–126 (1991).
7. S. Kandadai, J. Hardin, and C. D. Creusere, “ Audio quality assessment using the mean structural similarity measure,” in IEEE International Conference on Acoustics, Speech and Signal Processing, 2008. ICASSP 2008 (2008), pp. 221–224.
8. J. You, U. Reiter, M. M. Hannuksela, M. Gabbouj, and A. Perkis, “ Perceptual-based quality assessment for audio–visual services: A survey,” Sign. Process.: Image Commun. 25(7), 482–501 (2010).
9.ISO/IEC 13818-7:2006: Information Technology—Generic Coding of Moving Pictures and Associated Audio Information—Part 7: Advanced Audio Coding (AAC) ( International Organization for Standardization, Geneva, Switzerland, 2006).
11.Rec.ITU-R.BS.1387: Perceptual Evaluation of Audio Quality (PEAQ) ( International Telecommunication Union, Geneva, 1998).
12.Rec.ITU-R.BS.1116-2: Methods for the Subjective Assessment of Small Impairments in Audio Systems ( International Telecommunication Union, Geneva, 2014).
13. M. H. Pinson, C. Schmidmer, L. Janowski, R. Pepion, Q. Huynh-Thu, P. Corriveau, A. Younkin, P. Le Callet, M. Barkowsky, and W. Ingram, “ Subjective and objective evaluation of an audiovisual subjective dataset for research and development,” in 2013 Fifth International Workshop on Quality of Multimedia Experience (QoMEX) (2013), pp. 30–31.
14. A. Hines, J. Skoglund, A. Kokaram, and N. Harte, “ Robustness of speech quality metrics to background noise and network degradations: Comparing ViSQOL, PESQ and POLQA,” in 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2013).
15. A. Hines, P. Pocta, and H. Melvin, “ Detailed comparative analysis of PESQ and VISQOL behaviour in the context of playout delay adjustments introduced by VOIP jitter buffer algorithms,” in 2013 Fifth International Workshop on Quality of Multimedia Experience (QoMEX) (July, 2013), pp. 18–23.
16. A. Hines, J. Skoglund, A. Kokaram, and N. Harte, “ ViSQOL: The virtual speech quality objective listener,” in 2012 International Workshop on Acoustic Signal Enhancement (IWAENC) (September, 2012), pp. 1–4.
18.Rec.ITU-R.BS.1534-1: Method for the Subjective Assessment of Intermediate Sound Quality (MUSHRA) ( International Telecommunication Union, Geneva, 2003).
19. S. Zielinski, P. Hardisty, C. Hummersone, and F. Rumsey, “ Potential biases in MUSHRA listening tests,” in Audio Engineering Society Convention 123 (2007).
22.EBU Tech.3253-E: Sound Quality Assessment Material [SQUAM CD (Handbook)] ( EBU Technical Centre, Brussels, 1988).
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Streaming services seek to optimise their use of bandwidth across audio and visual channels to maximise the quality of experience for users. This letter evaluates whether objective quality metrics can predict the audio quality for music encoded at low bitrates by comparing objective predictions with results from listener tests. Three objective metrics were benchmarked: PEAQ, POLQA, and VISQOLAudio. The results demonstrate objective metrics designed for speech quality assessment have a strong potential for quality assessment of low bitrate audio codecs.
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