Improving the perceptual quality of ideal binary masked speech

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Title: Improving the perceptual quality of ideal binary masked speech
Author(s): Lightburn, L
De Sena, E
Moore, AH
Naylor, PA
Brookes, D
Item Type: Conference Paper
Abstract: It is known that applying a time-frequency binary mask to very noisy speech can improve its intelligibility but results in poor perceptual quality. In this paper we propose a new approach to applying a binary mask that combines the intel- ligibility gains of conventional binary masking with the per- ceptual quality gains of a classical speech enhancer. The bi- nary mask is not applied directly as a time-frequency gain as in most previous studies. Instead, the mask is used to sup- ply prior information to a classical speech enhancer about the probability of speech presence in different time-frequency re- gions. Using an oracle ideal binary mask, we show that the proposed method results in a higher predicted quality than other methods of applying a binary mask whilst preserving the improvements in predicted intelligibility.
Publication Date: 5-Mar-2017
Date of Acceptance: 12-Dec-2016
ISSN: 1520-6149
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Journal / Book Title: IEEE International Conference on Acoustics Speech and Signal Processing
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: ep/m026698/1
Conference Name: IEEE International Conference on Acoustics Speech and Signal Processing
Copyright Statement: This paper is embargoed until publication.
Publication Status: Accepted
Start Date: 2017-03-05
Finish Date: 2017-03-09
Conference Place: New Orleans
Embargo Date: publication subject to indefinite embargo
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering

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