Evidence map›Paper›PMID 33003860›Full record

ArticleThe Journal of the Acoustical Society of America2020

Individualized estimation of the Speech Intelligibility Index for short sentences: Test-retest reliability.

Yi Shen, Donghyeon Yun, Yi Liu

Abstract read
In one paragraph

Article in The Journal of the Acoustical Society of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yi ShenDepartment of Speech and Hearing Sciences, University of Washington, 1417 Northeast 42nd Street, Seattle, Washington 98105-6246, USA.
Donghyeon YunDepartment of Speech, Language and Hearing Sciences, Indiana University Bloomington, 200 South Jordan Avenue, Bloomington, Indiana 47405, USA.
Yi LiuDepartment of Speech, Language and Hearing Sciences, Indiana University Bloomington, 200 South Jordan Avenue, Bloomington, Indiana 47405, USA.

Funding

Individualized Assessment and Prediction of Speech-Recognition Performance In Adults with Age-related Hearing LossR01DC017988 · NIDCD · UNIVERSITY OF WASHINGTON · PI SHEN, YI · 2019 to 2023
$1.5M
NIDCD NIH HHS R01 DC017988
6 · The paper itself

Abstract

The speech intelligibility index (SII) model was modified to allow individualized parameters. These parameters included the relative weights of speech cues in five octave-frequency bands ranging from 0.25 to 4 kHz, i.e., the band importance function, and the transfer function that allows the SII to generate predictions on speech-recognition scores. A Bayesian adaptive procedure, the quick-band-importance-function (qBIF) procedure, was utilized to enable efficient estimation of the SII parameters from individual listeners. In two experiments, the SII parameters were estimated for 30 normal-hearing adults using Institute of Electrical and Electronics Engineers (IEEE) sentences at speech levels of 55, 65, and 75 dB sound pressure level (in Experiment I) and for 15 hearing-impaired (HI) adult listeners using amplified IEEE or AzBio sentences (in Experiment II). In both experiments, even without prior training, the estimated model parameters showed satisfactory reliability between two runs of the qBIF procedure at least one week apart. For the HI listeners, inter-listener variability in most estimated SII parameters was larger than intra-listener variability of the qBIF procedure.

Indexed as

Hearing Loss, SensorineuralSpeech PerceptionAuditory ThresholdBayes TheoremHumansReproducibility of ResultsSpeech Intelligibility

Identifiers

PMID33003860
PMCPMC7511242

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.