NDLI: Neural network-based voice quality measurement technique

Content Provider	IEEE Xplore Digital Library
Author	Tarraf, A. Meyers, M.
Copyright Year	1999
Description	Author affiliation: AT&T Bell Labs., Whippany, NJ, USA (Tarraf, A.)
Abstract	In this paper, we present a novel neural network-based predictor for subjective quality of speech signals. The output from the predictor is the estimated subjective quality or mean opinion score (MOS). The internal representation of signals is calculated using a model for the human auditory system. The perceptual distance between the reference speech and the speech sample under test is used as input to the neural network, which is then trained to model the underlying relationship between this perceptual distance and its subjective quality (MOS). Accurate MOS predictions have been demonstrated for speech coders used in common wireless applications including AMPS, TDMA, GSM and CDMA. MOS values predicted by the neural network MOS machine (NN-MM) were validated for clean and corrupted channels as well as for background noise conditions. Prediction accuracy is an order of magnitude better than anything previously reported, with worst case errors on the order of 0.05 MOS point.
Starting Page	375
Ending Page	381
File Size	596904
Page Count	7
File Format	PDF
ISBN	0769502504
DOI	10.1109/ISCC.1999.780923
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-07-06
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Measurement techniques Speech Humans Auditory system Testing Time division multiple access GSM Multiaccess communication Background noise
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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