The Effects of Speech Compression Algorithms on the Intelligibility of Two Individuals With Dysarthric Speech.
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...
| Publicado en: | American Journal of Speech-Language Pathology Vol. 28; no. 1; pp. 195 - 204 |
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| Autores principales: | , , , , |
| Formato: | case study research tables/charts Journal Article |
| Publicado: |
American Speech-Language-Hearing Association
2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=134920234&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 134920234 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10580360 5E7 jtl: American Journal of Speech-Language Pathology issn: 10580360 maglogo: N pubinfo: dt: 2019 vid: 28 iid: 1 pid: 42 pub: American Speech-Language-Hearing Association place: Rockville, Maryland artinfo: ui: 134920234 134920234 134920234 10.1044/2018_AJSLP-18-0081 134920234 ppf: 195 ppct: 9 formats: tig: atl: The Effects of Speech Compression Algorithms on the Intelligibility of Two Individuals With Dysarthric Speech. aug: au: Utianski, Rene L. Sandoval, Steven Berisha, Visar Lansford, Kaitlin L. Liss, Julie M. affil: Department of Neurology, Mayo Clinic, Rochester, MN sug: subj: Speech Intelligibility Dysarthria Therapy Speech Perception Evaluation Signal Processing, Computer Assisted Human Funding Source Male Adult Algorithms Healthcare Disparities Speech Acoustics Speech Therapy Telemedicine Arizona Descriptive Statistics Multivariate Analysis Repeated Measures Analysis of Variance Adult: 19-44 years Male ab: 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. pubtype: Academic Journal doctype: case study research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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