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1
SCALa: A blueprint for computational models of language acquisition in social context
In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.inria.fr/hal-03373586 ; Cognition, Elsevier, 2021, 213, pp.104779. ⟨10.1016/j.cognition.2021.104779⟩ (2021)
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2
Seshat: A tool for managing and verifying annotation campaigns of audio data
In: LREC 2020 - 12th Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-02496041 ; LREC 2020 - 12th Language Resources and Evaluation Conference, May 2020, Marseille, France. pp.6976-6982 (2020)
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3
An open-source voice type classifier for child-centered daylong recordings
In: Interspeech 2020 - Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-02989487 ; Interspeech 2020 - Conference of the International Speech Communication Association, Oct 2020, Shanghai / Virtual, China (2020)
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4
Speaker detection in the wild: Lessons learned from JSALT 2019
In: Odyssey 2020 The Speaker and Language Recognition Workshop ; https://hal.archives-ouvertes.fr/hal-02417632 ; Odyssey 2020 The Speaker and Language Recognition Workshop, Nov 2020, Tokyo, Japan (2020)
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5
Longform recordings : Opportunities and challenges ; Enregistrements de longue durée: Opportunités et défis
In: Actes des 2èmes journées scientifiques du Groupement de Recherche Linguistique Informatique Formelle et de Terrain (LIFT). ; LIFT 2020 - 2èmes journées scientifiques du Groupement de Recherche "Linguistique informatique, formelle et de terrain" ; https://hal.archives-ouvertes.fr/hal-03047153 ; LIFT 2020 - 2èmes journées scientifiques du Groupement de Recherche "Linguistique informatique, formelle et de terrain", Dec 2020, Montrouge / Virtual, France. pp.64-71 (2020)
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6
Segmentability Differences Between Child-Directed and Adult-Directed Speech: A Systematic Test With an Ecologically Valid Corpus
In: EISSN: 2470-2986 ; Open Mind ; https://hal.archives-ouvertes.fr/hal-02274050 ; Open Mind, MIT Press, 2019, 3, pp.13-22. ⟨10.1162/opmi_a_00022⟩ (2019)
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7
WordSeg: Standardizing unsupervised word form segmentation from text
In: ISSN: 1554-351X ; EISSN: 1554-3528 ; Behavior Research Methods ; https://hal.archives-ouvertes.fr/hal-02274072 ; Behavior Research Methods, Psychonomic Society, Inc, 2019, ⟨10.3758/s13428-019-01223-3⟩ (2019)
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8
Are Words Easier to Learn From Infant- Than Adult-Directed Speech? A Quantitative Corpus-Based Investigation
In: ISSN: 0364-0213 ; EISSN: 1551-6709 ; Cognitive Science ; https://hal.archives-ouvertes.fr/hal-01888701 ; Cognitive Science, Wiley, 2018, 42 (5), pp.1586 - 1617. ⟨10.1111/cogs.12616⟩ (2018)
Abstract: International audience ; We investigate whether infant-directed speech (IDS) could facilitate word form learning when compared to adult-directed speech (ADS). To study this, we examine the distribution of word forms at two levels, acoustic and phonological, using a large database of spontaneous speech in Japanese. At the acoustic level we show that, as has been documented before for phonemes, the realizations of words are more variable and less discriminable in IDS than in ADS. At the phonological level, we find an effect in the opposite direction: the IDS lexicon contains more distinctive words (such as onomatopoeias) than the ADS counterpart. Combining the acoustic and phonological metrics together in a global discriminability score reveals that the bigger separation of lexical categories in the phonological space does not compensate for the opposite effect observed at the acoustic level. As a result, IDS word forms are still globally less discriminable than ADS word forms, even though the effect is numerically small. We discuss the implication of these findings for the view that the functional role of IDS is to improve language learnability.
Keyword: [SCCO.LING]Cognitive science/Linguistics; [SCCO]Cognitive science; hyperspeech; infant-directed speech; language development; psycholinguistics; speech perception; word learning
URL: https://hal.archives-ouvertes.fr/hal-01888701/file/Guevara-Rukoz_CLTMMD_2018_Spoken_Lexicon_IDS_ADS.CogSci.pdf
https://hal.archives-ouvertes.fr/hal-01888701/document
https://hal.archives-ouvertes.fr/hal-01888701
https://doi.org/10.1111/cogs.12616
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9
Child-Directed Speech Is Infrequent in a Forager-Farmer Population: A Time Allocation Study
In: ISSN: 0009-3920 ; EISSN: 1467-8624 ; Child Development ; https://hal.inria.fr/hal-01687336 ; Child Development, Wiley, 2017, ⟨10.1111/cdev.12974⟩ (2017)
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10
Relating Unsupervised Word Segmentation to Reported Vocabulary Acquisition
In: Interspeech 2017 ; https://hal.inria.fr/hal-01687534 ; Interspeech 2017, 2017, Stockholm, Sweden. ⟨10.21437/Interspeech.2017-937⟩ (2017)
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11
The Role of Prosody and Speech Register in Word Segmentation: A Computational Modelling Perspective
In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) ; https://hal.inria.fr/hal-01687451 ; Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), Jul 2017, Vancouver, Canada. ⟨10.18653/v1/P17-2028⟩ (2017)
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12
The more, the better? Behavioral and neural correlates of frequent and infrequent vowel exposure
In: ISSN: 0012-1630 ; EISSN: 1098-2302 ; Developmental Psychobiology ; https://hal.inria.fr/hal-01687403 ; Developmental Psychobiology, Wiley, 2017, 59 (5), pp.603 - 612. ⟨10.1002/dev.21534⟩ (2017)
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