21 |
Mothers' Work Status and 17-month-olds' Productive Vocabulary.
|
|
|
|
BASE
|
|
Show details
|
|
22 |
Accuracy of the Language Environment Analysis System Segmentation and Metrics: A Systematic Review.
|
|
|
|
BASE
|
|
Show details
|
|
23 |
Point, walk, talk: Links between three early milestones, from observation and parental report.
|
|
|
|
BASE
|
|
Show details
|
|
25 |
Look who's talking: A comparison of automated and human-generated speaker tags in naturalistic day-long recordings.
|
|
|
|
Abstract:
The LENA system has revolutionized research on language acquisition, providing both a wearable device to collect day-long recordings of children's environments, and a set of automated outputs that process, identify, and classify speech using proprietary algorithms. This output includes information about input sources (e.g., adult male, electronics). While this system has been tested across a variety of settings, here we delve deeper into validating the accuracy and reliability of LENA's automated diarization, i.e., tags of who is talking. Specifically, we compare LENA's output with a gold standard set of manually generated talker tags from a dataset of 88 day-long recordings, taken from 44 infants at 6 and 7 months, which includes 57,983 utterances. We compare accuracy across a range of classifications from the original Lena Technical Report, alongside a set of analyses examining classification accuracy by utterance type (e.g., declarative, singing). Consistent with previous validations, we find overall high agreement between the human and LENA-generated speaker tags for adult speech in particular, with poorer performance identifying child, overlap, noise, and electronic speech (accuracy range across all measures: 0-92%). We discuss several clear benefits of using this automated system alongside potential caveats based on the error patterns we observe, concluding with implications for research using LENA-generated speaker tags.
|
|
Keyword:
LENA system; LENA system reliability; Talker variability
|
|
URL: https://hdl.handle.net/10161/19711 https://doi.org/10.3758/s13428-019-01265-7
|
|
BASE
|
|
Hide details
|
|
26 |
What Do North American Babies Hear? A large-scale cross-corpus analysis.
|
|
|
|
BASE
|
|
Show details
|
|
27 |
A Collaborative Approach to Infant Research: Promoting Reproducibility, Best Practices, and Theory-Building.
|
|
|
|
BASE
|
|
Show details
|
|
28 |
Familiarity plays a small role in noun comprehension at 12–18 months
|
|
|
|
In: Infancy (2020)
|
|
BASE
|
|
Show details
|
|
29 |
From babble to words: Infants’ early productions match words and objects in their environment
|
|
|
|
In: Cogn Psychol (2020)
|
|
BASE
|
|
Show details
|
|
30 |
Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference
|
|
|
|
In: Advances in Methods and Practices in Psychological Science ; 3 (2020), 1. - S. 24-52. - Sage Publishing. - ISSN 2515-2459. - eISSN 2515-2467 (2020)
|
|
BASE
|
|
Show details
|
|
31 |
From babble to words: Infants’ early productions match words and objects in their environment
|
|
|
|
BASE
|
|
Show details
|
|
32 |
From babble to words: Infants’ early productions match words and objects in their environment
|
|
|
|
BASE
|
|
Show details
|
|
33 |
The Comprehension Boost in Early Word Learning: Older Infants Are Better Learners
|
|
|
|
In: Child Dev Perspect (2020)
|
|
BASE
|
|
Show details
|
|
34 |
Accuracy of the Language Environment Analysis System Segmentation and Metrics: A Systematic Review
|
|
|
|
In: J Speech Lang Hear Res (2020)
|
|
BASE
|
|
Show details
|
|
35 |
Look who’s talking: A comparison of automated and human-generated speaker tags in naturalistic daylong recordings
|
|
|
|
In: Behav Res Methods (2020)
|
|
BASE
|
|
Show details
|
|
36 |
Quantifying sources of variability in infancy research using the infant-directed-speech preference
|
|
|
|
BASE
|
|
Show details
|
|
37 |
BabbleCor: A Crosslinguistic Corpus of Babble Development in Five Languages ...
|
|
|
|
BASE
|
|
Show details
|
|
38 |
The INTERSPEECH 2019 computational paralinguistics challenge: Styrian dialects, continuous sleepiness, baby sounds & orca activity
|
|
|
|
BASE
|
|
Show details
|
|
39 |
Mothers’ work status and 17‐month‐olds’ productive vocabulary
|
|
|
|
BASE
|
|
Show details
|
|
40 |
Mothers’ work status and 17‐month‐olds’ productive vocabulary
|
|
|
|
BASE
|
|
Show details
|
|
|
|