SynthesisJournal of speech, language, and hearing research : JSLHR2020
Accuracy of the Language Environment Analysis System Segmentation and Metrics: A Systematic Review.
Synthesis in Journal of speech, language, and hearing research : JSLHR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
45 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- From data to discovery: Technology propels speech-language research and theory-building in developmental science.Neuroscience and biobehavioral reviews · 2025Pooled it
- Accuracy of the Language Environment Analysis System Segmentation and Metrics: A Systematic Review.Journal of speech, language, and hearing research : JSLHR · 2020Pooled it
- The Language ENvironment Analysis (LENA) System in Toddlers With Early Indicators of Autism: Test-Retest Reliability and Convergent Validity With Clinical Language Assessments.Autism research : official journal of the International Society for Autism Research · 2025Trial
- 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.Developmental science · 2026Article
- Bridging Machine Learning and Event-Based Analyses to Assess Maternal Contingent Responses to Infant Nondistress and Distress Vocalizations From Home Audio Recordings.Developmental science · 2026Article
- Classification errors distort findings in automated speech processing: Examples and solutions from child-development research.Behavior research methods · 2026Article
- Early child measures outpredict input measures of preschool language skills in U.S. English learners.Developmental psychology · 2026Article
- Thinking Critically About Algorithms for Automated Detection of Behavior: 11 Guidelines for Social and Behavioral Scientists.Developmental science · 2026Article
- Dynamic Interaction of Affect and Language in Children's Home Environments.Developmental science · 2026Article
- A year of nouns from English-learning infants' daily lives: The SEEDLingS-Nouns dataset.Behavior research methods · 2025Article
- Fostering Infant/Toddler Mental Health and Language in Underserved Family Child Care Settings.Children (Basel, Switzerland) · 2025Article
- Evaluating canonical babbling ratios extracted from day-long audio recordings in infants later diagnosed with autism spectrum disorder.Infant behavior & development · 2025Article
- The robustness of speech-like vocalization in typically developing infants and infants with autism.Research in developmental disabilities · 2025Article
- The everyday speech environments of preschoolers with and without cochlear implants.Journal of child language · 2025Article
- Caregiver response types and children language outcomes in preschoolers with and without hearing loss in Aotearoa New Zealand.Journal of the Royal Society of New Zealand · 2025Article
- Establishing the reliability of metrics extracted from long-form recordings using LENA and the ACLEW pipeline.Behavior research methods · 2024Article
- Canonical babbling trajectories across the first year of life in autism and typical development.Autism : the international journal of research and practice · 2024Article
- The Effect of LENA (Language ENvironment Analysis) for Children with Hearing Loss in Denmark including a Pilot Validation for the Danish Language.Journal of clinical medicine · 2024Article
- Evaluating the accuracy of automated processing of child and adult language production in preschool classrooms.Frontiers in psychology · 2024Article
- Everyday language input and production in 1,001 children from six continents.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Purpose The Language Environment Analysis (LENA) system provides automated measures facilitating clinical and nonclinical research and interventions on language development, but there are only a few, scattered independent reports of these measures' validity. The objectives of the current systematic review were to (a) discover studies comparing LENA output with manual annotation, namely, accuracy of talker labels, as well as involving adult word counts (AWCs), conversational turn counts (CTCs), and child vocalization counts (CVCs); (b) describe them qualitatively; (c) quantitatively integrate them to assess central tendencies; and (d) quantitatively integrate them to assess potential moderators. Method Searches on Google Scholar, PubMed, Scopus, and PsycInfo were combined with expert knowledge, and interarticle citations resulting in 238 records screened and 73 records whose full text was inspected. To be included, studies must target children under the age of 18 years and report on accuracy of LENA labels (e.g., precision and/or recall) and/or AWC, CTC, or CVC (correlations and/or error metrics). Results A total of 33 studies, in 28 articles, were discovered. A qualitative review revealed most validation studies had not been peer reviewed as such and failed to report key methodology and results. Quantitative integration of the results was possible for a broad definition of recall and precision (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.