Quality Analysis of Streaming Audio over Mobile Networks


  • Amitabh Mishra University of West Florida, Pensacola FL
  • Sikha Bagui Department of Computer Science, The University of West Florida, Pensacola, FL 32514
  • John Compo Department of Computer Science, The University of West Florida, Pensacola, FL 32514
  • Debarghya Nandi Department of Computer Science, The University of West Florida, Pensacola, FL 32514
  • Subhash Bagui Department of Mathematics and Statistics, The University of West Florida, Pensacola, FL 32514




Audio Quality, Mean Opinion Score, Streaming Audio, Mobile Networks, Outages


This paper utilizes open source software to analyze the quality of audio streamed over mobile cellular networks. Industry conventions have been developed to assess audio quality such as the Mean Opinion Score or MOS scale described in the International Telecommunications Union ITU P.800.1 document.  The MOS scale is a subjective assessment based on the listener’s experience. To eliminate the use of a trained audio listener we automate an estimated MOS calculation by measuring the packet loss, average latency and jitter over the network transport path. The network under test is a pilot network to replace the dedicated analog circuit from the broadcast center to a radio transmitter. We intend to automate the logging of an objective quality assessment using MOS, cellular router and decoder measurements with confirmation using automatically generated visual representations of sample audio received. These visual representations will aid in manual confirmation of poor MOS scores with audio samples available for more in-depth review.

Author Biography

Amitabh Mishra, University of West Florida, Pensacola FL

Department of Computer Science, Assistant Professor


(1) Audacity Team (2017). Audacity(R): Free Audio Editor and Recorder [Computer application]. Version 2.2.0 retrieved February 5th 2018 from https://audacityteam.org/

(2) Gan, C., Wang, X., Zhu, M., & Yu, X. (2011). Audio quality evaluation using frequency structural similarity measure. IET International Communication Conference on Wireless Mobile and Computing (CCWMC 2011). doi:10.1049/cp.2011.0896

(3) IEEE recommended practice for speech quality measurements (No. 297). (1969). New York, NY: Institute of Electrical and Electronics Engineers.

(4) ITU-T. (1993). G.711 : Pulse code modulation (PCM) of voice frequencies. Retrieved from https://www.itu.int/rec/T-REC-G.711

(5) J. D. Hunter, "Matplotlib: A 2D Graphics Environment," in Computing in Science & Engineering, vol. 9, no. 3,pp. 90-95, May-June 2007. doi: 10.1109/MCSE.2007.55

(6) Khalifeh, A. F., Al-Tamimi, A., & Darabkh, K. A. (2017). Perceptual evaluation of audio quality under lossy networks. 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET). doi:10.1109/wispnet.2017.8299900

(7) Mok, R. K., Chan, E. W., & Chang, R. K. (2011). Measuring the quality of experience of HTTP video streaming. 12th IFIP/IEEE International Symposium on Integrated Network Management (IM 2011) and Workshops. doi:10.1109/inm.2011.5990550

(8) Python Software Foundation. Python Language Reference, version 2.7. Available at <http://www.python.org/>

(9) SoX (2018). SoX - Sound eXchange: Free Audio Converter and Processor [Computer application]. Version 14.4.2 retrieved February 5th 2018 from http://sox.sourceforge.net/

(10) Yuhong, Y., Hongjiang, Y., Ruimin, H., Song, W., & Songbo, X. (2013). A new mobile audio quality assessment using Jitter Distortion Measure approach. 2013 Fifth International Workshop on Quality of Multimedia Experience (QoMEX). doi:10.1109/qomex.2013.6603234




How to Cite

Mishra, A., Bagui, S., Compo, J., Nandi, D., & Bagui, S. (2019). Quality Analysis of Streaming Audio over Mobile Networks. Discoveries in Agriculture and Food Sciences, 6(6), 01. https://doi.org/10.14738/tnc.66.5526