The effects of speech compression algorithms on the intelligibility of two individuals with dysarthric speech

Rene Utianski, Steven Sandoval, Visar Berisha, Kaitlin L. Lansford, Julie M. Liss

Research output: Contribution to journalArticle

Abstract

Purpose: Telemedicine, used to offset disparities in access to speech-language therapy, relies on technology that utilizes compression algorithms to transmit signals efficiently. These algorithms have been thoroughly evaluated on healthy speech; however, the effects of compression algorithms on the intelligibility of disordered speech have not been adequately explored. Method: This case study assessed acoustic and perceptual effects of resampling and speech compression (i.e., transcoding) on the speech of 2 individuals with dysarthria. Forced-choice vowel identification and transcription tasks were utilized, completed by 20 naive undergraduate listeners. Results: Results showed relative improvements and decrements in intelligibility, on various measures, based on the speakers’ acoustic profiles. The transcoding of the speech compression algorithm resulted in an enlarged vowel space area and associated improvements in vowel identification for 1 speaker and a smaller vowel space area and decreased vowel identification for the other speaker. Interestingly, there was an overall decrease in intelligibility in the transcription task in this condition for both speakers. Conclusions: There is a complex interplay between dysarthria and compression algorithms that warrants further exploration. The findings suggest that it is critical to be mindful of apparent changes in intelligibility secondary to compression algorithms necessary for practicing telemedicine. Supplemental Material: https://doi.org/10.23641/asha. 7291940.

Original languageEnglish (US)
Pages (from-to)195-203
Number of pages9
JournalAmerican journal of speech-language pathology
Volume28
Issue number1
DOIs
StatePublished - Feb 1 2019

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Dysarthria
Telemedicine
Acoustics
acoustics
Language Therapy
Speech Intelligibility
Speech Therapy
listener
Technology
language

ASJC Scopus subject areas

  • Otorhinolaryngology
  • Developmental and Educational Psychology
  • Linguistics and Language
  • Speech and Hearing

Cite this

The effects of speech compression algorithms on the intelligibility of two individuals with dysarthric speech. / Utianski, Rene; Sandoval, Steven; Berisha, Visar; Lansford, Kaitlin L.; Liss, Julie M.

In: American journal of speech-language pathology, Vol. 28, No. 1, 01.02.2019, p. 195-203.

Research output: Contribution to journalArticle

Utianski, Rene ; Sandoval, Steven ; Berisha, Visar ; Lansford, Kaitlin L. ; Liss, Julie M. / The effects of speech compression algorithms on the intelligibility of two individuals with dysarthric speech. In: American journal of speech-language pathology. 2019 ; Vol. 28, No. 1. pp. 195-203.
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