Deep learning in automatic detection of dysphonia: Comparing acoustic features and developing a generalizable framework.

Journal: International journal of language & communication disorders
PMID: 36117378

Abstract

BACKGROUND: Auditory-perceptual assessment of voice is a subjective procedure. Artificial intelligence with deep learning (DL) may improve the consistency and accessibility of this task. It is unclear how a DL model performs on different acoustic features.

Authors

  • Zhen Chen
    School of Basic Medicine, Qingdao University, Qingdao 266021, China.
  • Peixi Zhu
    Hilderbrand Department of Petroleum and Geosystems Engineering, University of Texas at Austin, Austin, TX, USA.
  • Wei Qiu
  • Jiajie Guo
    State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China.
  • Yike Li
    Department of Otolaryngology, Bill Wilkerson Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

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