Decoding phonation with artificial intelligence (DeP AI): Proof of concept

Decoding phonation with artificial intelligence (DeP AI): Proof of concept

Objective Acoustic analysis of voice has the potential to expedite detection and diagnosis of voice disorders. Applying an image‐based, neural‐network approach to analyzing the acoustic signal may be an effective means for detecting and differentially diagnosing voice disorders. The purpose of this...

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Bibliographic Details
Main Authors: Maria E. Powell, Marcelino Rodriguez Cancio, David Young, William Nock, Beshoy Abdelmessih, Amy Zeller, Irvin Perez Morales, Peng Zhang, C. Gaelyn Garrett, Douglas Schmidt, Jules White, Alexander Gelbard
Format: Article
Language:English
Published: Wiley 2019-06-01
Series:Laryngoscope Investigative Otolaryngology
Subjects:
Voice disorders
detection
acoustic analysis
convolutional neural network
classification
Online Access:https://doi.org/10.1002/lio2.259

Internet

https://doi.org/10.1002/lio2.259

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