Multidisciplinary Perspectives on Automatic Analysis of Children's Language Samples: Where Do We Go from Here?

Ulrike Lüdtke,Juan Bornman,Febe de Wet,Ulrich Heid,Jörn Ostermann,Lars Rumberg,Jeannie Van der Linde,Hanna Ehlert

Folia phoniatrica et logopaedica : official organ of the International Association of Logopedics and Phoniatrics (IALP)（2023）

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摘要

Existing tools vary in their extent of automation provided across the process of LSA. Advances in machine learning for speech recognition and processing have potential to facilitate LSA, but the specifics of child speech and language as well as the lack of child data complicate software design. A transdisciplinary approach is recommended as feasible to support future software development for LSA.

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关键词

Assessment,Automatic speech recognition,Child language,Language sample analysis

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