Evidence map›Paper›PMID 34149987›Full record

ArticleProceedings of meetings on acoustics. Acoustical Society of America2018

A Hearing Test Simulator GUI for clinical testing of speech recognition.

Serkan Tokgoz, Stephanie Tittle, Linda Thibodeau, Issa Panahi

Abstract read
In one paragraph

Article in Proceedings of meetings on acoustics. Acoustical Society of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Smartphone-based single-channel speech enhancement application for hearing aids.The Journal of the Acoustical Society of America · 2021
    Article
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

4 authors.

Serkan TokgozDepartment of Electrical Engineering, The University of Texas at Dallas, Richardson, TX, 75080.
Stephanie TittleThe University of Texas at Dallas, Richardson, TX.
Linda ThibodeauThe University of Texas at Dallas, Richardson, TX.
Issa PanahiThe University of Texas at Dallas, Richardson, TX.

Funding

Smartphone-Based Open Research Platform for Hearing Improvement StudiesR01DC015430 · NIDCD · UNIVERSITY OF TEXAS DALLAS · PI PANAHI, ISSA · 2016 to 2020
$1.9M
NIDCD NIH HHS R01 DC015430
6 · The paper itself

Abstract

This paper presents an overview of a useful MATLAB based GUI for speech recognition testing to evaluate the subjects' ability in noisy environments with different SNR values. With this software package, stimuli are presented and the examiner is able to identify which words are correctly perceived. Test data can be collected in various conditions to measure the performance as signal-to-noise ratio or signal processing varies. From the subjects' responses, word recognition rates can be saved by the examiner according to different noise types such as babble, traffic, machinery, and white noise. Additionally, the speech recognition tests are completed through repeated testing cycles. Word recognition scores are saved into the database for later use purpose and analysis. This computer aided simulation makes a reliable and cost effective way to create real environmental conditions for clinical testing. Our MATLAB based GUI addresses the needs of both clinical evaluation and engineering.

Identifiers

PMID34149987
PMCPMC8211555

What OpenQuestion holds

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Registered trials

None linked

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.