Challenges in early detection of children at risk for oral language disorders: The potential of speech processing technologies
(2023) European Society for Cognitive Psychology 23rd meeting — Location: Porto, Portugal
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- Authors
Bonnet, Camille 
- Abstract
- To address the challenges of early detection, past research has attempted to identify early predictors of adverse language trajectories and to improve early screening tools for at risk children. In addition, the crucial role of early home language environment in leveraging subsequent language development has been increasingly acknowledged. Automatic speech processing technologies have recently allowed researchers to collect daylong naturalistic recordings and obtain various ecological measures on a child’s language development and environment. The objective of this meta-analytic review was to assess whether these technologies, such as the most widely used Language ENvironment Analysis, might be promising tools to enhance early identification of children at risk for oral language disorders. A systematic search for records reporting on associations between automatic measures of language environment and language skills in children younger than 6 years old was performed. Results on the strength of this association across different language domains will be presented. Possible implications will be discussed in an attempt to define whether a recorder is the solution to address the current challenges of early detection.
- Affiliations
Citations
Bonnet, C., Warny, A., Barbot, B., & Vanderauwera, J. (2023). Challenges in early detection of children at risk for oral language disorders: The potential of speech processing technologies. European Society for Cognitive Psychology 23rd meeting, Porto, Portugal. https://hdl.handle.net/2078.5/237114