Dataset Information

Feasibility of an Adaptive Version of the Everyday Conversational Sentences in Noise Test.

ABSTRACT:

Purpose

To investigate potential reasons for the mismatch between laboratory/clinic-based sentence-in-noise performance and real-world listening abilities, we recently developed a corpus of natural, spontaneously spoken speech with three vocal effort levels (Everyday Conversational Sentences in Noise [ECO-SiN]). Here, we examined the feasibility of using the ECO-SiN corpus for adaptive speech-in-noise testing, which might be a desirable format in certain situations (e.g., during a clinical visit).

Method

Ten young, normal-hearing adults, along with 20 older adults with hearing loss participated in the study. Speech reception thresholds (SRTs) were obtained using ECO-SiN sentences, which were systematically compared to the SRTs obtained using traditional Bamford-Kowal-Bench-like sentences.

Results

Results demonstrated the properties of the test compared favorably with those of a standard test based on scripted and clearly spoken sentences. Moreover, whereas normal-hearing listeners received a benefit from an increase in vocal effort, the participants with hearing loss showed a disbenefit that increased with increasing hearing loss.

Conclusion

The adaptive version of the ECO-SiN test is feasible for research and clinical testing.

Supplemental material

https://doi.org/10.23641/asha.25146338.

SUBMITTER: Miles K

PROVIDER: S-EPMC11000810 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature

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Publications

Feasibility of an Adaptive Version of the Everyday Conversational Sentences in Noise Test.

Miles Kelly K Best Virginia V Buchholz Jörg M JM

Journal of speech, language, and hearing research : JSLHR 20240207 2

<h4>Purpose</h4>To investigate potential reasons for the mismatch between laboratory/clinic-based sentence-in-noise performance and real-world listening abilities, we recently developed a corpus of natural, spontaneously spoken speech with three vocal effort levels (Everyday Conversational Sentences in Noise [ECO-SiN]). Here, we examined the feasibility of using the ECO-SiN corpus for adaptive speech-in-noise testing, which might be a desirable format in certain situations (e.g., during a clinic ...[more]

PMID: 38324271

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Dataset Information

Feasibility of an Adaptive Version of the Everyday Conversational Sentences in Noise Test.

Purpose

Method

Results

Conclusion

Supplemental material

Publications

Feasibility of an Adaptive Version of the Everyday Conversational Sentences in Noise Test.

Similar Datasets

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