Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics (대한후두음성언어의학회지)

The Korean Society of Laryngology, Phoniatrics and Logopedics. (대한후두음성언어의학회)
권호 표지
DOI QR코드

DOI QR Code

Two Cases Using the Praat-Based Automatic Voice Analysis Program as an Alternative to CSL

사례 적용 Praat 기반 CSL 대체 자동화 음성분석 프로그램

  • Kang, Young Ae (Department of Otolaryngology-Head and Neck Surgery, Chungnam National University Hospital) ;
  • Chang, Jae Won (Department of Otolaryngology-Head and Neck Surgery, Chungnam National University Hospital) ;
  • Koo, Bon Seok (Department of Otolaryngology-Head and Neck Surgery, Chungnam National University College of Medicine)
  • 강영애 (충남대학교병원 이비인후-두경부외과) ;
  • 장재원 (충남대학교병원 이비인후-두경부외과) ;
  • 구본석 (충남대학교 의과대학 이비인후-두경부외과학교실)
  • Received : 2021.06.07
  • Accepted : 2021.07.06
  • Published : 2021.08.31
Download PDF
⟨ Previous Next ⟩

Abstract

There are a number of voice analysis programs around the world. Domestic voice analysis is performed by relying heavily on specific commercial program. We intend to develop coding for voice analysis using Praat and apply it to clinical practice. This study consisted of Experiment 1 and Experiment 2. Experiment 1 was the development of automated voice analysis coding based on Praat. The coding was largely divided into a recording, an analysis, and a storage section. Experiment 2 was applied to the voice analysis of 2 male patients pre- and post-operation with this coding. The analysis parameters of this coding provided 26 parameters for vowel /a/, nine parameters for sentence analysis, and a total of 4 parameters for voice range profile analysis. In two male patients, the pitch and the intensity increased, the voice quality improved, and the sentence length decreased after surgery. The coding was well made, so the output was good in real time. The code is automated as much as possible to block manual errors and increases convenience and efficiency by generating the result sheet in real time.

Keywords

Acknowledgement

This work was supported by research fund of Chungnam National University.

References

  1. Saggio G, Costantini G. Worldwide healthy adult voice baseline parameters: A comprehensive review. J Voice 2020 Oct 8 [epub]. Available from: https://doi.org/10.1016/j.jvoice.2020.08.028.
  2. Vaz-Freitas S, Pestana PM, Almeida V, Ferreira A. Acoustic analysis of voice signal: Comparison of four applications software. Biomed Signal Process Control 2018;40:318-23. https://doi.org/10.1016/j.bspc.2017.09.031
  3. Yoo JY, Jeong OR, Jang TY, Ko DH. A correlation study among acoustic parameters of MDVP, Praat, and Dr. Speech. Speech Sci 2003;10(3):29-36.
  4. Choi SH, Nam DH, Lee SH, Jung WH, Kim DW, Choi HS. Jitter and shimmer measurements of dysphonia among the different voice analysis programs. J Korean Soc Laryngol Phoniatr Logoped 2005;16(2):140-5.
  5. Shim SY, Kim HH, Kim JO, Shin JC. Difference in voice parameters of MDVP and Praat programs according to severity of voice disorders in vocal nodule. Phonetics Speech Sci 2014;6(2):107-14. https://doi.org/10.13064/KSSS.2014.6.2.107
  6. Boersma P, Weenink D. Praat: Doing phonetics by computer (version 6.1.41) [Computer program]. Amsterdam, the Netherlands: University of Amsterdam, Phonetic Sciences Department: 2021 [cited 2021 Feb 1]. Available from: http://www.praat.org/.
  7. Boersma P. Should jitter be measured by peak picking or by waveform matching? Folia Phoniatr Logop 2009;61(5):305-8. https://doi.org/10.1159/000245159
  8. Choi SH. Speech-language pathologists' voice assessment and voice therapy practices: A survey for standard clinical guideline and evidence-based practice. Commun Sci Disord 2013;18(4):473-85. https://doi.org/10.12963/csd.13082
  9. Park HS. PRAAT: Voice analysis program. 1st ed. Seoul, Korea: Hanvitmoonhwa;2007. p.107-31.
  10. Lee SH, Huh YJ, Kim JH, Han CS. Finding optimal cut off points of the Korean version of the Patient Health Questionnaire-9 (PHQ-9) for screening depressive disorders. Mood Emot 2014;12(1):32-6.
  11. Maryn Y, Corthals P, De Bodt M, Van Cauwenberge P, Deliyski D. Perturbation measures of voice: A comparative study between multi-dimensional voice program and Praat. Folia Phoniatr Logop 2009;61(4):217-26. https://doi.org/10.1159/000227999
  12. Teixeira JP, Oliveira C, Lopes C. Vocal acoustic analysis - jitter, shimmer and hnr parameters. Procedia Technol 2013;9:1112-22. https://doi.org/10.1016/j.protcy.2013.12.124
  13. Phonanium.com [Internet]. Lokeren, Belgium: Phonanium; [cited 2021 Apr 1]. Available from: http://www.phonanium.com/.