From data to discovery: Technology propels speech-language research and theory-building in developmental science
Zuzanna Laudańska1, Anna Caunt2, Alejandrina Cristia3
1Department of Child and Adolescent Psychiatry, Heidelberg University Hospital, Heidelberg University, and German Center for Mental Health (DZPG), Heidelberg, Germany; Institute of Psychology, Polish Academy of Sciences, Warsaw, Poland.
Neuroscience and Biobehavioral Reviews
|May 7, 2025
Summary
Recent advances in AI and recording tech transform speech and language development research. New tools aid infant and child studies, but gaps in diversity and tech limitations hinder global applicability.
Area of Science:
- Speech and Language Development
- Computational Linguistics
- Developmental Psychology
Background:
- Speech and language development research has evolved significantly due to technological advancements.
- AI and advanced recording tools are revolutionizing the study of early language acquisition.
Purpose of the Study:
- To systematically review recently developed (semi-)automatic tools for studying speech-language development in children under 5.
- To identify trends, limitations, and gaps in current research methodologies and tools.
Main Methods:
- Systematic literature review of studies on speech and language development tools.
- Analysis of tool usage, study settings, and participant populations.
Main Results:
- The Language ENvironment Analysis (LENA) system is widely used, with emerging free/open-source alternatives.
- Most studies occur in naturalistic settings with daylong recordings, focusing on hearing loss or autism.
- Significant gaps exist in cultural, linguistic, geographic, clinical, and social diversity; technological limitations persist.
Conclusions:
- Global applicability requires technological innovation, methodological rigor, and ethical considerations.
- Enhancing inclusivity, simplifying tool access, and addressing data privacy are crucial for equitable understanding.
- Cost-effective automatic tools can promote greater diversity and more representative theories in language development research.
Keywords:
Acoustic AnalysisAudio AnalysisAutomatic Speech RecognitionChildDay-long RecordingsInfantLENALong-form RecordingsSpeech-Language DevelopmentVocalizationsMore Related Videos
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