원저

Recording Quality of Smartphone for Acoustic Analysis

Geun-Hyo Kim1,2, Duck-Hoon Kang3, Yeon-Yoo Lee1,2, Hyung-Soon Kim1,4, Soon-Bok Kwon1,5, Young-Seuk Cho6, Hee-June Park7, Yang-Gyu Choi8, Bum-Joo Shin3,*
Author Information & Copyright
1Interdisciplinary Program for Cognitive Science, Busan, Korea
2Department of Otorhinolaryngology-Head and Neck Surgery, Pusan National University Hospital, Pusan, Korea
3Department of Applied IT and Engineering, Pusan National University, Miryang, Korea
4Department of Electronics Engineering, Pusan, Korea
5Humanities, Language and Information, Pusan, Korea
6Statistics, Pusan National University, Pusan, Korea
7Department of Speech Rehabilitation, Choonhae College of Health Sciences, Ulsan, Korea
8Department of Language Therapy, Daegu University, Daegu, Korea
*교신저자: 신범주, 50463 경남 밀양시 삼랑진읍 삼랑진로 1268-50 부산대학교 생명자원과학대학 IT응용공학과 전화: (055) 350-5417·전송: (055) 350-5419 E-mail: voicebjshin@gmail.com

© Copyright 2016 The Busan, Ulsan, Gyeoungnam Branch of Korean Society of Otolaryngology-Head and Neck Surgery. This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Received: Sep 23, 2016; Revised: Oct 28, 2016; Accepted: Nov 18, 2016

Published Online: May 31, 2020

ABSTRACT

Introduction: The U-health system supports health care services for prevention, diagnosis, medical treatment, and post-health management. Currently, various medical service systems such as telemedicine, emergent medical treatment, and private health monitoring are in use. Diagnosis of patient with glottic cancer using pathologic voice is one of private health monitoring. Aim: The purpose of this study was to compare the quality of pathologic voice in various recording methods using smartphone. Methods: Voice samples were collected simultaneously from 28 patients with glottic cancer using nine recording methods. Acoustic analysis was performed to assess the parameters including jitter, shimmer, noise to harmony, and cepstral prominence peak of voice quality using MDVP and ADSV Results: Correlations were calculated among the various parameters. All of the measured acoustic parameters showed the highest correlation to CPP. The high correlation method used for the iPhone involved a combination of a professional recording app and a unidirectional microphone, while the high correlation method used for an Android phone involved a combination of a professional recording app and an internal microphone. Conclusions: The present findings indicate that the smartphone devices of both iPhone and Android phone were useful for recording and analyzing pathologic voice for evaluation in clinical practice. We confirmed the possibility of using smartphone-based recording for spectral and cepstral analysis of pathologic voice. The value of the mobile device and its applications may be in its ability to provide meaningful, accurate, and timely informative guidance to the clinician by improving the availability and quality of patient’s findings. (J Clinical Otolaryngol 2016;27:286–294)

Keywords: Smartphone; Voice recording; Android; iOS; MDVP; ADSV