ArticlePloS one2016
Fidelity of Automatic Speech Processing for Adult and Child Talker Classifications.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Accuracy of the Language Environment Analysis System Segmentation and Metrics: A Systematic Review.Journal of speech, language, and hearing research : JSLHR · 2020Pooled it
- Conversation Initiation in Families With a Toddler Who Is Deaf or Hard of Hearing.American journal of speech-language pathology · 2025Article
- The everyday speech environments of preschoolers with and without cochlear implants.Journal of child language · 2025Article
- Validation of the Language ENvironment Analysis (LENA) Automated Speech Processing Algorithm Labels for Adult and Child Segments in a Sample of Families From India.Journal of speech, language, and hearing research : JSLHR · 2025Article
- Fathers' unmodulated prosody in child-directed speech.The Journal of the Acoustical Society of America · 2023Article
- Language Exposure for Preterm Infants is Reduced Relative to Fetuses.The Journal of pediatrics · 2023Article
- Automated measurement: The need for a more objective view of the speech and language of autistic children.Frontiers in human neuroscience · 2023Article
- Measuring naturalistic proximity as a window into caregiver-child interaction patterns.Behavior research methods · 2022Article
- Conversation Initiation of Mothers, Fathers, and Toddlers in their Natural Home Environment.Computer speech & language · 2022Article
- Circumspection in using automated measures: Talker gender and addressee affect error rates for adult speech detection in the Language ENvironment Analysis (LENA) system.Behavior research methods · 2021Article
- A meta-analysis of the predictability of LENA™ automated measures for child language development.Developmental review : DR · 2020Article
- Predicting Expressive Language From Early Vocalizations in Young Children With Autism Spectrum Disorder: Which Vocal Measure Is Best?Journal of speech, language, and hearing research : JSLHR · 2020Article
- Look who's talking: A comparison of automated and human-generated speaker tags in naturalistic day-long recordings.Behavior research methods · 2020Article
- What Do North American Babies Hear? A large-scale cross-corpus analysis.Developmental science · 2019Article
- Infant-Mother Acoustic-Prosodic Alignment and Developmental Risk.Journal of speech, language, and hearing research : JSLHR · 2018Article
- Methods for eliciting, annotating, and analyzing databases for child speech development.Computer speech & language · 2017Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Automatic speech processing (ASP) has recently been applied to very large datasets of naturalistically collected, daylong recordings of child speech via an audio recorder worn by young children. The system developed by the LENA Research Foundation analyzes children's speech for research and clinical purposes, with special focus on of identifying and tagging family speech dynamics and the at-home acoustic environment from the auditory perspective of the child. A primary issue for researchers, clinicians, and families using the Language ENvironment Analysis (LENA) system is to what degree the segment labels are valid. This classification study evaluates the performance of the computer ASP output against 23 trained human judges who made about 53,000 judgements of classification of segments tagged by the LENA ASP. Results indicate performance consistent with modern ASP such as those using HMM methods, with acoustic characteristics of fundamental frequency and segment duration most important for both human and machine classifications. Results are likely to be important for interpreting and improving ASP output.
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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.