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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 11 of 11 1 Accuracy of the Language Environment Analysis System Segmentation and Metrics: A Systematic Review. Cristia, Alejandrina; Bulgarelli, Federica; Bergelson, Elika. - : American Speech Language Hearing Association, 2020 BASE Show details 2 Look who's talking: A comparison of automated and human-generated speaker tags in naturalistic day-long recordings. Bulgarelli, Federica; Bergelson, Elika. - : Springer Science and Business Media LLC, 2020 BASE Show details 3 Is Language Production Planning Emergent From Action Planning? A Preliminary Investigation Koranda, Mark J.; Bulgarelli, Federica; Weiss, Daniel J.... In: Front Psychol (2020) BASE Show details 4 Accuracy of the Language Environment Analysis System Segmentation and Metrics: A Systematic Review Cristia, Alejandrina; Bulgarelli, Federica; Bergelson, Elika In: J Speech Lang Hear Res (2020) BASE Show details 5 Look who’s talking: A comparison of automated and human-generated speaker tags in naturalistic daylong recordings Bulgarelli, Federica; Bergelson, Elika In: Behav Res Methods (2020) Abstract: The LENA system has revolutionized research on language acquisition, providing both a wearable device to collect daylong 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 daylong 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: Article URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6980911/ http://www.ncbi.nlm.nih.gov/pubmed/31342467 https://doi.org/10.3758/s13428-019-01265-7 BASE Hide details 6 Multi-Pattern Visual Statistical Learning in Monolinguals and Bilinguals Bulgarelli, Federica; Bosch Galceran, Laura; Weiss, Daniel J.. - : Frontiers Media, 2019 BASE Show details 7 Multi-Pattern Visual Statistical Learning in Monolinguals and Bilinguals Bulgarelli, Federica; Bosch Galceran, Laura; Weiss, Daniel J.. - : Frontiers Media, 2019 BASE Show details 8 Statistical learning of multiple speech streams: A challenge for monolingual infants Benitez, Viridiana L.; Bulgarelli, Federica; Byers-Heinlein, Krista... In: Dev Sci (2019) BASE Show details 9 Multi-Pattern Visual Statistical Learning in Monolinguals and Bilinguals Bulgarelli, Federica; Bosch, Laura; Weiss, Daniel J.. - : Frontiers Media S.A., 2019 BASE Show details 10 Proceedings of the 41th Annual Boston University Conference on Language Development [held November 4-6, 2016, in Boston] 1. 1 Bulgarelli, Federica; Benitez, Viridiana; Saffran, Jenny... In: 1 (2017), S. 128-139 Leibniz-Zentrum Allgemeine Sprachwissenschaft Show details 11 Sampling over Nonuniform Distributions: A Neural Efficiency Account of the Primacy Effect in Statistical Learning Karuza, Elisabeth A.; Li, Ping; Weiss, Daniel J.. - 2016 BASE Show details

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