Using more realistic speech material to enhance ecological validity in the Everyday Conversational Danish Sentence Test

Traditional audiological tests often fail to replicate real-world listening environments, potentially leading to discrepancies between clinical assessments and patient experiences. Common tests involve sentences read aloud verbatim, which do not represent real-life speech and language. This study outlines the development of a more ecologically valid speech material and compares its psychometric properties to those of the more traditional, clear-speech Danish Sentence Test (DAST) corpus. Sentences were extracted from recordings of dialogues between a female talker and two partners, communicating in quiet and noisy conditions to elicit normal and raised vocal efforts. A total of 400 sentences were included in the Everyday Conversational Danish Sentence Test. These sentences were presented to 40 normal-hearing participants in stationary noise spectrally matched to each vocal effort, across five signal-to-noise ratios (SNRs) ranging from -10 to 0 dB in 2.5 dB steps. A psychometric function fitted across all sentences revealed a speech reception threshold (SRT) of -5.3 dB SNR and a slope of 12.1%/dB, similar to the psychometric properties of DAST (SRT: -5.17 dB SNR; slope: 11.5%/dB). Vocal effort significantly affected intelligibility, but the direction of the effect varied with SNR. Sentences were intelligibility-normalized and grouped into balanced lists for future implementations.

Authors

Institutions

Publication Details

Journal
The Journal of the Acoustical Society of America
Published
2026-04-01
DOI
https://doi.org/10.1121/10.0043241
Primary Topic
Hearing Loss and Rehabilitation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using more realistic speech material to enhance ecological validity in the Everyday Conversational Danish Sentence Test

Lars Bramsløw, Abigail Anne Kressner, Anja Kofoed Pedersen, Pernilla Kjær Andersen et al.
The Journal of the Acoustical Society of America
Hearing Loss and Rehabilitation
article

Using more realistic speech material to enhance ecological validity in the Everyday Conversational Danish Sentence Test

Lars Bramsløw, Abigail Anne Kressner, Anja Kofoed Pedersen, Pernilla Kjær Andersen, Torsten Dau
article en

Abstract

Traditional audiological tests often fail to replicate real-world listening environments, potentially leading to discrepancies between clinical assessments and patient experiences. Common tests involve sentences read aloud verbatim, which do not represent real-life speech and language. This study outlines the development of a more ecologically valid speech material and compares its psychometric properties to those of the more traditional, clear-speech Danish Sentence Test (DAST) corpus. Sentences were extracted from recordings of dialogues between a female talker and two partners, communicating in quiet and noisy conditions to elicit normal and raised vocal efforts. A total of 400 sentences were included in the Everyday Conversational Danish Sentence Test. These sentences were presented to 40 normal-hearing participants in stationary noise spectrally matched to each vocal effort, across five signal-to-noise ratios (SNRs) ranging from -10 to 0 dB in 2.5 dB steps. A psychometric function fitted across all sentences revealed a speech reception threshold (SRT) of -5.3 dB SNR and a slope of 12.1%/dB, similar to the psychometric properties of DAST (SRT: -5.17 dB SNR; slope: 11.5%/dB). Vocal effort significantly affected intelligibility, but the direction of the effect varied with SNR. Sentences were intelligibility-normalized and grouped into balanced lists for future implementations.

The Journal of the Acoustical Society of AmericaVol. 159(4)
Lynn University (US), Copenhagen University Hospital (DK), Rigshospitalet (DK), Radiant Research (United States) (US), Oticon Medical (Denmark) (DK), Technical University of Denmark (DK)
William Demant Fonden
Gender equality
Openalex Percentile: Top 30%
Hearing Loss and Rehabilitation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.