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S1_JSLHR-23-00507miles.pdf (9.03 kB)

Adaptive ECO-SiN (Miles et al., 2024)

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posted on 2024-02-07, 16:30 authored by Kelly Miles, Virginia Best, Joerg M. Buchholz

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 S1. Summary of the linear mixed effects model contrasts of the SRT data.

Miles, K., Best, V., & Buchholz, J. M. (2024). Feasibility of an adaptive version of the Everyday Conversational Sentences in Noise Test. Journal of Speech, Language, and Hearing Research, 67(2), 680–687. https://doi.org/10.1044/2023_JSLHR-23-00507

Funding

The authors acknowledge the financial support of the HEARing Cooperative Research Centre (CRC), established and supported under the CRC Program (an initiative of the Australian Government) and Sonova AG. V.B. was supported in part by National Institute on Deafness and Other Communication Disorders Grant R01DC015760.

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