L Ward
R2SPIN : re-recording the Revised Speech Perception in Noise Test
Ward, L; Robinson, C; Paradis, M; Tucker, KM; Shirley, BG
Abstract
Speech in noise tests are an important clinical and research toolfor understanding speech perception in realistic, adverse listen-ing conditions. Though relatively simple to implement, theirdevelopment is time and resource intensive. As a result, manytests still in use (and their corresponding recordings) are out-dated and no longer fit for purpose. This work takes the popu-lar Revised Speech Perception In Noise (RSPIN) Test and up-dates it with improved recordings and the addition of a femalespeaker. It outlines and evaluates a methodology which otherscan apply to legacy recordings of speech in noise tests to updatethem and ensure their ongoing usability. This paper describesthe original test along with its use over the last four decades andthe rationale for re-recording. The new speakers, new accent(Received Pronunciation) and recording methodology are thenoutlined. Subjective and objective analysis of the new record-ings for normal hearing listeners are then given. The paper concludes with recommendations for using the R2SPIN.
Citation
Ward, L., Robinson, C., Paradis, M., Tucker, K., & Shirley, B. R2SPIN : re-recording the Revised Speech Perception in Noise Test. Presented at 20th Annual Conference of the International Speech Communication Association
Presentation Conference Type | Other |
---|---|
Conference Name | 20th Annual Conference of the International Speech Communication Association |
Acceptance Date | Jun 1, 2019 |
Deposit Date | Jul 5, 2019 |
Publicly Available Date | Jul 5, 2019 |
Additional Information | Corporate Creators : BBC Research & Development Event Type : Conference |
Files
R2SPIN_CorrTemplate.pdf
(239 Kb)
PDF
You might also like
Cloud-based AI for automatic audio production for personalized immersive XR experiences
(2022)
Journal Article
Background ducking to produce esthetically pleasing
audio for TV with clear speech
(2019)
Presentation / Conference
Speech-to-screen : spatial separation of dialogue from noise towards improved speech intelligibility for the small screen
(2018)
Presentation / Conference
Downloadable Citations
About USIR
Administrator e-mail: library-research@salford.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search