IEICE TRANSACTIONS on Communications
Parametric Packet-Layer Model for Evaluation Audio Quality in Multimedia Streaming Services
Summary :
We propose a parametric packet-layer model for monitoring audio quality in multimedia streaming services such as Internet protocol television (IPTV). This model estimates audio quality of experience (QoE) on the basis of quality degradation due to coding and packet loss of an audio sequence. The input parameters of this model are audio bit rate, sampling rate, frame length, packet-loss frequency, and average burst length. Audio bit rate, packet-loss frequency, and average burst length are calculated from header information in received IP packets. For sampling rate, frame length, and audio codec type, the values or the names used in monitored services are input into this model directly. We performed a subjective listening test to examine the relationships between these input parameters and perceived audio quality. The codec used in this test was the Advanced Audio Codec-Low Complexity (AAC-LC), which is one of the international standards for audio coding. On the basis of the test results, we developed an audio quality evaluation model. The verification results indicate that audio quality estimated by the proposed model has a high correlation with perceived audio quality.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E93-B No.6 pp.1359-1366
- Publication Date
- 2010/06/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E93.B.1359
- Type of Manuscript
- Special Section PAPER (Special Section on Quality of Communication Networks and Services)
- Category
Authors
Keyword
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Noritsugu EGI, Takanori HAYASHI, Akira TAKAHASHI, "Parametric Packet-Layer Model for Evaluation Audio Quality in Multimedia Streaming Services" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 6, pp. 1359-1366, June 2010, doi: 10.1587/transcom.E93.B.1359.
Abstract: We propose a parametric packet-layer model for monitoring audio quality in multimedia streaming services such as Internet protocol television (IPTV). This model estimates audio quality of experience (QoE) on the basis of quality degradation due to coding and packet loss of an audio sequence. The input parameters of this model are audio bit rate, sampling rate, frame length, packet-loss frequency, and average burst length. Audio bit rate, packet-loss frequency, and average burst length are calculated from header information in received IP packets. For sampling rate, frame length, and audio codec type, the values or the names used in monitored services are input into this model directly. We performed a subjective listening test to examine the relationships between these input parameters and perceived audio quality. The codec used in this test was the Advanced Audio Codec-Low Complexity (AAC-LC), which is one of the international standards for audio coding. On the basis of the test results, we developed an audio quality evaluation model. The verification results indicate that audio quality estimated by the proposed model has a high correlation with perceived audio quality.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.1359/_p
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@ARTICLE{e93-b_6_1359,
author={Noritsugu EGI, Takanori HAYASHI, Akira TAKAHASHI, },
journal={IEICE TRANSACTIONS on Communications},
title={Parametric Packet-Layer Model for Evaluation Audio Quality in Multimedia Streaming Services},
year={2010},
volume={E93-B},
number={6},
pages={1359-1366},
abstract={We propose a parametric packet-layer model for monitoring audio quality in multimedia streaming services such as Internet protocol television (IPTV). This model estimates audio quality of experience (QoE) on the basis of quality degradation due to coding and packet loss of an audio sequence. The input parameters of this model are audio bit rate, sampling rate, frame length, packet-loss frequency, and average burst length. Audio bit rate, packet-loss frequency, and average burst length are calculated from header information in received IP packets. For sampling rate, frame length, and audio codec type, the values or the names used in monitored services are input into this model directly. We performed a subjective listening test to examine the relationships between these input parameters and perceived audio quality. The codec used in this test was the Advanced Audio Codec-Low Complexity (AAC-LC), which is one of the international standards for audio coding. On the basis of the test results, we developed an audio quality evaluation model. The verification results indicate that audio quality estimated by the proposed model has a high correlation with perceived audio quality.},
keywords={},
doi={10.1587/transcom.E93.B.1359},
ISSN={1745-1345},
month={June},}
Copy
TY - JOUR
TI - Parametric Packet-Layer Model for Evaluation Audio Quality in Multimedia Streaming Services
T2 - IEICE TRANSACTIONS on Communications
SP - 1359
EP - 1366
AU - Noritsugu EGI
AU - Takanori HAYASHI
AU - Akira TAKAHASHI
PY - 2010
DO - 10.1587/transcom.E93.B.1359
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2010
AB - We propose a parametric packet-layer model for monitoring audio quality in multimedia streaming services such as Internet protocol television (IPTV). This model estimates audio quality of experience (QoE) on the basis of quality degradation due to coding and packet loss of an audio sequence. The input parameters of this model are audio bit rate, sampling rate, frame length, packet-loss frequency, and average burst length. Audio bit rate, packet-loss frequency, and average burst length are calculated from header information in received IP packets. For sampling rate, frame length, and audio codec type, the values or the names used in monitored services are input into this model directly. We performed a subjective listening test to examine the relationships between these input parameters and perceived audio quality. The codec used in this test was the Advanced Audio Codec-Low Complexity (AAC-LC), which is one of the international standards for audio coding. On the basis of the test results, we developed an audio quality evaluation model. The verification results indicate that audio quality estimated by the proposed model has a high correlation with perceived audio quality.
ER -
English
