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Performance and biases of the LENA® and ACLEW algorithms in analyzing language environments in Down, Fragile X, Angelman syndromes, and populations at elevated likelihood for autism

2026-07-07

Abstract excerpt

<p>Wearable recorders are being used in research and clinical practice to collect and measure children’s vocalizations and language environments. Recordings generate vast amounts of audio, making manual analysis impractical and requiring automated processing. Two automated algorithms have emerged: the proprietary LENA® (Language ENvironment Analysis) and the open-source ACLEW (Analyzing Child Language Experiences...

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Literature Corpus work
addeb7b7-5765-55ee-a812-34916ad2b54f
DOI
10.31234/osf.io/fd3cr_v4
Open publication

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Performance and biases of the LENA® and ACLEW algorithms in analyzing language environments in Down, Fragile X, Angelman syndromes, and populations at elevated likelihood for autismDOI 10.31234/osf.io/fd3cr_v4
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