Fast, Continuous Audiogram Estimation Using Machine Learning-Reference-Cited by-同舟云学术

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Fast, Continuous Audiogram Estimation Using Machine Learning

Published:2015-11 Issue:6 Volume:36 Page:e326-e335
ISSN:0196-0202
Container-title:Ear & Hearing
language:en
Short-container-title:

Author:

Song Xinyu D.,Wallace Brittany M.,Gardner Jacob R.,Ledbetter Noah M.,Weinberger Kilian Q.,Barbour Dennis L.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Speech and Hearing,Otorhinolaryngology

Reference24 articles.

1. American National Standards Institute. . Methods for manual pure-tone threshold audiometry.;ANSI,2004

2. V.. A new audiometer.;Bekesy;Acta Oto-Laryngologica,1947

3. E., Durlach N. I.. Intensity perception. IV. Resolution in roving-level discrimination.;Berliner;J Acoust Soc Am,1973

4. Y., Leibold L. J., Buss E.. Effect of signal-temporal uncertainty in children and adults: Tone detection in noise or a random-frequency masker.;Bonino;J Acoust Soc Am,2013

5. H., Wiley T. L.. Continuous versus pulsed tones in audiometry.;Burk;Am J Audiol,2004

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