Purpose: There is increasing interest in using automatic speech recognition (ASR) systems to evaluate impairment severity or speech intelligibility in speakers with dysarthria. We assessed the clinical validity of one currently available off-the-shelf (OTS) ASR system (i.e., a Google Cloud ASR API) for indexing sentence-level speech…

Background: Children with speech sound disorders (SSD) are at higher risk of communication breakdown, but the impact of having an SSD may vary from child to child. Determining the severity of SSD helps speech-language therapists (SLTs) to recognise the extent of the problem and to identify and prioritise children who require intervention. Aims:…

Purpose: This study aimed to evaluate a novel communication system designed to translate surface electromyographic (sEMG) signals from articulatory muscles into speech using a personalized, digital voice. The system was evaluated for word recognition, prosodic classification, and listener perception of synthesized speech. Method: sEMG signals were…

Purpose: This preliminary research examined (a) the perception of two common sources of indexical variability in speech--regional dialects and foreign accents, and (b) the relation between indexical processing and sentence recognition among prelingually deaf, long-term cochlear implant (CI) users and normal-hearing (NH) peers. Method: Forty-three…

Purpose: We proposed and tested a causal instantiation of the World Health Organization's International Classification of Functioning, Disability and Health (ICF) framework, linking acoustics, intelligibility, and communicative participation in the context of dysarthria. Method: Speech samples and communicative participation scores were collected…

Teacher cognition has attracted increased attention among second language (L2) researchers and practitioners, likely because of its potential consequences for classroom practices, such as teaching and assessment. Prior research has revealed links between teacher beliefs about pronunciation teaching and teachers' own experience (e.g. amount of…

This study examined Americans' attitudes toward standard American English (SAE) and nine, non-Anglo foreign accents: Arabic, Farsi, French, German, Hindi, Hispanic, Mandarin, Russian, and Vietnamese. Compared to SAE speakers, all foreign-accented speakers were rated as harder to understand, more likely to be categorised as foreign (rather than…