Feedback Vocal Rehabilitation Software Applied to Mobile Devices for Maximum Phonation Time

Jia Yi Lin, Yu Chi Huang, Gwo Jiun Horng, Chien Cin Hsu, Chao Chun Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The key to the maximum phonation time (MPT) is how much lung capacity you have. If the MPT is too short, one cannot cut the sentences inappropriate time and lead to communication difficulties. However, there is no research on the effect of using feedback software for vocal rehabilitation in the past, especially for those who cannot increase their vital capacity through exercise. Therefore, we designed two tests for the experiment in our study. First, using mobile devices to collect MPT and Intensity Level (IL) data in a quiet space of 40 adults whose cognitive status is normal, and analyzing their characteristic changes. Then, we use the mobile device to perform MPT feedback rehabilitation and collect two characteristic data again. The purpose of our study is to understand the effects of using feedback vocal rehabilitation software.

Original languageEnglish
Title of host publicationAdvanced Machine Learning Technologies and Applications - Proceedings of AMLTA 2021
EditorsAboul-Ella Hassanien, Kuo-Chi Chang, Tang Mincong
PublisherSpringer Science and Business Media Deutschland GmbH
Pages1074-1082
Number of pages9
ISBN (Print)9783030697167
DOIs
Publication statusPublished - 2021
Event6th International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2021 - Virtual, Online
Duration: 2021 Mar 222021 Mar 24

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1339
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference6th International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2021
CityVirtual, Online
Period21-03-2221-03-24

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • General Computer Science

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