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Assessing Whisper for Infant Research: Benchmarking ASR Accuracy and Failure Analysis on Caregiver-Infant Interactions

2025-09-16

Abstract excerpt

<p>Transcribing naturalistic caregiver-child interactions is a labor-intensive task in developmental research. While automatic speech recognition (ASR) models offer potential solutions, current ASR systems, including OpenAI’s Whisper, were primarily trained on adult-directed speech (ADS) and have not been systematically evaluated for infant-directed speech (IDS). IDS differs from ADS in prosody, phonetics, utteran...

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Literature Corpus work
958012db-7191-5d29-b03e-81f3b7c486b2
DOI
10.31234/osf.io/6g5zf_v1
Open publication

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Assessing Whisper for Infant Research: Benchmarking ASR Accuracy and Failure Analysis on Caregiver-Infant InteractionsDOI 10.31234/osf.io/6g5zf_v1
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