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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

2025-04-04

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
493fe9b3-6471-5222-8a2e-133efa501bc8
DOI
10.31234/osf.io/fd3cr_v1
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_v1
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