The Effects of Speech Compression Algorithms on the Intelligibility of Two Individuals With Dysarthric Speech.
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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 profil
SUBMITTER: Utianski RL
PROVIDER: S-EPMC6503861 | biostudies-literature | 2019 Feb
REPOSITORIES: biostudies-literature
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