Landmark-based analysis of speech differentiates conversational from clear speech in speakers with muscle tension dysphonia

Keiko Ishikawa, Mary Pietrowicz, Sara Charney, Diana Orbelo

Research output: Contribution to journalArticlepeer-review

Abstract

This study evaluated the feasibility of differentiating conversational and clear speech produced by individuals with muscle tension dysphonia (MTD) using landmark-based analysis of speech (LMBAS). Thirty-four adult speakers with MTD recorded conversational and clear speech, with 27 of them able to produce clear speech. The recordings of these individuals were analyzed with the open-source LMBAS program, SpeechMark®, matlab Toolbox version 1.1.2. The results indicated that glottal landmarks, burst onset landmarks, and the duration between glottal landmarks differentiated conversational speech from clear speech. LMBAS shows potential as an approach for detecting the difference between conversational and clear speech in dysphonic individuals.

Original languageEnglish
Article number055203
JournalJASA Express Letters
Volume3
Issue number5
DOIs
StatePublished - May 1 2023

Bibliographical note

Publisher Copyright:
© 2023 Author(s).

ASJC Scopus subject areas

  • Acoustics and Ultrasonics
  • Music
  • Arts and Humanities (miscellaneous)

Fingerprint

Dive into the research topics of 'Landmark-based analysis of speech differentiates conversational from clear speech in speakers with muscle tension dysphonia'. Together they form a unique fingerprint.

Cite this