The simplified French Matrix. A tool for evaluation of speech intelligibility in noise

Copyright © 2020. Published by Elsevier Masson SAS..

INTRODUCTION: In audiology, the usual tests of speech perception in silence are non-predictive of intelligibility in noise. The French Matrix was developed to assess intelligibility in noise in adults with normal cognitive capacity. A simplified adaptive version, FRA-SIMAT, was derived for use with children and elderly persons with diminished memory span. The aim of the present study was to apply this adaptive procedure to determine signal-to-noise ratio (SNR) according to percentage intelligibility.

METHODS: Twenty normal-hearing adults and 60 normal-hearing children aged 5-6 years (G1), 7-8 years (G2) and 9-10 years (G3) were included. FRA-SIMAT uses groups of 3 words, to limit memory demand.

RESULTS: In adults, SNR for 50% (SNR-50) and 80% intelligibility (SNR-80) was respectively -7.1±1.4dB and -3.7±1.6dB. In children, SNR-50 was -4.2±1.3dB in G1, -4.6±1.2dB in G2, and -5.5±1.5dB in G3.

CONCLUSION: The FRA-SIMAT test of speech perception in noise was validated in adults and children of different ages, and can be implemented as a diagnostic and rehabilitation tool in clinical practice.

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:138

Enthalten in:

European annals of otorhinolaryngology, head and neck diseases - 138(2021), 4 vom: 15. Sept., Seite 253-256

Sprache:

Englisch

Beteiligte Personen:

Prang, I [VerfasserIn]
Parodi, M [VerfasserIn]
Coudert, C [VerfasserIn]
Legoff, S [VerfasserIn]
Exter, M [VerfasserIn]
Buschermöhle, M [VerfasserIn]
Denoyelle, F [VerfasserIn]
Loundon, N [VerfasserIn]

Links:

Volltext

Themen:

Adaptive test of speech intelligibility in noise
Journal Article
SNR

Anmerkungen:

Date Completed 25.10.2021

Date Revised 25.10.2021

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.anorl.2020.12.003

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM319859851