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A Data-Driven Non-intrusive Measure of Speech Quality and Intelligibility

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Title: A Data-Driven Non-intrusive Measure of Speech Quality and Intelligibility
Authors: Sharma, D
Naylor, PA
Wang, Y
Brookes, DM
Item Type: Journal Article
Issue Date: 26-Apr-2016
Date of Acceptance: 30-Mar-2016
URI: http://hdl.handle.net/10044/1/31932
DOI: https://dx.doi.org/10.1016/j.specom.2016.03.005
ISSN: 0167-6393
Publisher: Elsevier
Start Page: 84
End Page: 94
Journal / Book Title: Speech Communication
Volume: 80
Copyright Statement: © 2016, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor/Funder: Home Office
Funder's Grant Number: PO 7073101
Keywords: Science & Technology
Technology
Acoustics
Computer Science, Interdisciplinary Applications
Computer Science
Speech quality
Speech intelligibility
CART
PESQ
STOI
PATTERN-RECOGNITION
NOISE
CLASSIFICATION
REVERBERANT
PERCEPTION
MODELS
Speech-Language Pathology & Audiology
0801 Artificial Intelligence And Image Processing
1702 Cognitive Science
2004 Linguistics
Publication Status: Published
Appears in Collections:Electrical and Electronic Engineering
Faculty of Engineering