NDLI: Audio quality assessment in packet networks: an "inter-subjective" neural network model

Content Provider	IEEE Xplore Digital Library
Author	Mohamed, S. Cervantes-Perez, F. Afifi, H.
Copyright Year	2001
Description	Author affiliation: IRISA, Rennes, France (Mohamed, S.)
Abstract	Transmitting digital audio signals in real time over packet switched networks (e.g. the Internet) has set forth the need for developing signal processing algorithms that objectively evaluate audio quality. So far, the best way to assess audio quality are subjective listening tests, the most commonly used being the mean opinion score (MOS) recommended by the International Telecommunication Union (ITU). The goal of this paper is to show how artificial neural networks (ANNs) can be used to mimic the way human subjects estimate the quality of audio signals when distorted by changes in several parameters that affect the transmitted audio quality. To validate the approach, we carried out an MOS experiment for speech signals distorted by different values of IP-network parameters (e.g. loss rate, loss distribution, packetization interval, etc.), and changes in the encoding algorithm used to compress the original signal. Our results allow us to show that ANNs can capture the nonlinear mapping, between certain characteristics of audio signals and a subjective five points quality scale, "built" by a group of human subjects when participating in an MOS experiment, creating, in this way, an "inter-subjective" neural network (INN) model that might effectively "evaluate", in real time, the audio quality in packet switched networks.
Sponsorship	IEEE Comput. Soc.
Starting Page	579
Ending Page	586
File Size	796394
Page Count	8
File Format	PDF
ISBN	0769509517
DOI	10.1109/ICOIN.2001.905514
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-01-31
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Quality assessment Packet switching Signal processing algorithms Humans Nonlinear distortion Signal processing Telecommunication switching IP networks Testing Artificial neural networks
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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