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Direct linkJimmy Tobin; Phillip Nelson; Bob MacDonald; Rus Heywood; Richard Cave; Katie Seaver; Antoine Desjardins; Pan-Pan Jiang; Jordan R. Green – Journal of Speech, Language, and Hearing Research, 2024
Purpose: This study examines the effectiveness of automatic speech recognition (ASR) for individuals with speech disorders, addressing the gap in performance between read and conversational ASR. We analyze the factors influencing this disparity and the effect of speech mode--specific training on ASR accuracy. Method: Recordings of read and…
Descriptors: Foreign Countries, Speech Impairments, Computational Linguistics, Artificial Intelligence
Sari Kunnari; Susana Sanduvete-Chaves; Salvador Chacon-Moscoso; Dina Caetano Alves; Martina Ozbic; Kakia Petinou; Anna-Kaisa Tolonen; Krisztina Zajdó; Pauline Frizelle; Carol-Anne Murphy; David Saldana; Marja Laasonen – International Journal of Language & Communication Disorders, 2024
Background: Phonological difficulties are prevalent in children with speech and/or language disorders and may hamper their later language outcomes and academic achievements. These children often form a significant proportion of speech and language therapists' caseloads. There is a shortage of information on evidence-based interventions for…
Descriptors: Grouping (Instructional Purposes), Expressive Language, Language Impairments, Speech Impairments
