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Hits 1 – 20 of 72
1
How much does prosody help word segmentation? A simulation study on infant-directed speech
Ludusan, Bogdan
;
Cristia, Alejandrina
;
Dupoux, Emmanuel
...
In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.archives-ouvertes.fr/hal-03498888 ; Cognition, Elsevier, 2022, 219, pp.104961. ⟨10.1016/j.cognition.2021.104961⟩ (2022)
BASE
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2
Does infant-directed speech help phonetic learning? A machine learning investigation
Ludusan, Bogdan
;
Mazuka, Reiko
;
Dupoux, Emmanuel
In: ISSN: 0364-0213 ; EISSN: 1551-6709 ; Cognitive Science ; https://hal.archives-ouvertes.fr/hal-03080098 ; Cognitive Science, Wiley, 2021, 45 (5), ⟨10.1111/cogs.12946⟩ (2021)
Abstract:
International audience ; A prominent hypothesis holds that by speaking to infants in infant-directed speech (IDS) as opposed to adult-directed speech (ADS), parents help them learn phonetic categories. Specifically, two characteristics of IDS have been claimed to facilitate learning: hyperarticulation, which makes the categories more separable and variability, which makes the generalization more robust. Here, we test the separability and robustness of vowel category learning on acoustic representations of speech uttered by Japanese adults in either ADS, IDS (addressed to 18-24 month olds) or read speech (RS). Separability is determined by means of a distance measure computed between the five short vowel categories of Japanese, while robustness is assessed by testing the ability of six different machine learning algorithms trained to classify vowels to generalize on stimuli spoken by a novel speaker in ADS. Using two different speech representations, we find that hyperarticulated speech, in the case of RS, can yield better separability, and that increased between-speaker variability in ADS, can yield, for some algorithms, more robust categories. However, these conclusions do not apply to IDS, which turned out to yield neither more separable nor more robust categories compared to ADS inputs. We discuss the usefulness of machine learning algorithms run on real data to test hypotheses about the functional role of IDS.
Keyword:
[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
;
[STAT.ML]Statistics [stat]/Machine Learning [stat.ML]
;
Adult-directed speech
;
Hyperarticulation
;
Infant-directed speech
;
Phonetic learning
;
Read speech
;
Speech variability
URL:
https://doi.org/10.1111/cogs.12946
https://hal.archives-ouvertes.fr/hal-03080098/document
https://hal.archives-ouvertes.fr/hal-03080098/file/CognitiveScience.pdf
https://hal.archives-ouvertes.fr/hal-03080098
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3
Does Infant-Directed Speech Help Phonetic Learning? A Machine Learning Investigation
Mazuka, Reiko
;
Dupoux, Emmanuel
;
Ludusan, Bogdan
. - : Wiley, 2021
BASE
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4
When context is and isn’t helpful: A corpus study of naturalistic speech [<Journal>]
Hitczenko, Kasia
[Verfasser];
Mazuka, Reiko
[Verfasser];
Elsner, Micha
[Verfasser].
DNB Subject Category Language
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5
Why is Japanese not difficult to process?: A proposal to integrate parameter setting in Universal Grammar and parsing
Mazuka, Reiko
;
Lust, Barbara
In: North East Linguistics Society (2020)
BASE
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6
Normalization may be ineffective for phonetic category learning ...
Hitczenko, Kasia
;
Mazuka, Reiko
;
Elsner, Micha
. - : University of Massachusetts Amherst, 2019
BASE
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7
Nasal Consonant Discrimination in Infant- and Adult-Directed Speech
Mazuka, Reiko
;
Jorschick, Annett
;
Ludusan, Bogdan
. - : ISCA, 2019
BASE
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8
Normalization may be ineffective for phonetic category learning
Hitczenko, Kasia
;
Mazuka, Reiko
;
Elsner, Micha
...
In: Proceedings of the Society for Computation in Linguistics (2019)
BASE
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9
Are Words Easier to Learn From Infant- Than Adult-Directed Speech? A Quantitative Corpus-Based Investigation
Guevara-Rukoz, Adriana
;
Cristia, Alejandrina
;
Ludusan, Bogdan
...
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)
BASE
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10
Proceedings of the 41th Annual Boston University Conference on Language Development [held November 4-6, 2016, in Boston] 1. 1
Antetomaso, Stephanie
;
Miyazawa, Kouki
;
Feldman, Naomi
...
In:
1
(2017), S. 32-45
Leibniz-Zentrum Allgemeine Sprachwissenschaft
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11
The Role of Prosody and Speech Register in Word Segmentation: A Computational Modelling Perspective
Ludusan, Bogdan
;
Mazuka, Reiko
;
Bernard, Mathieu
...
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)
BASE
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12
Are words easier to learn from infant- than adult-directed speech? A quantitative corpus-based investigation ...
Guevara-Rukoz, Adriana
;
Cristia, Alejandrina
;
Ludusan, Bogdan
. - : arXiv, 2017
BASE
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13
Age-Dependent Effects of Catechol-O-Methyltransferase (COMT) Gene Val158Met Polymorphism on Language Function in Developing Children
Sugiura, Lisa
;
Toyota, Tomoko
;
Matsuba-Kurita, Hiroko
. - : Oxford University Press, 2017
BASE
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14
The acoustic salience of prosody trumps infants' acquired knowledge of language-specific prosodic patterns
Hawthorne, Kara
;
Mazuka, Reiko
;
Gerken, LouAnn
. - 2015
BASE
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15
The role of the input on the development of the LC bias: A crosslinguistic comparison
Gonzalez-Gomez, Nayeli
;
Hayashi, Akiko
;
Tsuji, Sho
...
In:
Cognition. - Amsterdam [u.a] : Elsevier
132 (2014) 3, 301-311
OLC Linguistik
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16
The multidimensional nature of hyperspeech: Evidence from Japanese vowel devoicing
Martin, Andrew
;
Utsugi, Akira
;
Mazuka, Reiko
In:
Cognition. - Amsterdam [u.a] : Elsevier
132 (2014) 2, 216-228
OLC Linguistik
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17
Segmental distributions and consonant-vowel association patterns in Japanese infant- and adult-directed speech*
TSUJI, SHO
;
NISHIKAWA, KENYA
;
MAZUKA, REIKO
In:
Journal of child language. - Cambridge [u.a.] : Cambridge Univ. Press
41 (2014) 6, 1276-1304
OLC Linguistik
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18
Development of text reading in Japanese: an eye movement study
Jincho, Nobuyuki
;
Feng, Gary
;
Mazuka, Reiko
In:
Reading and writing. - New York, NY : Springer Science+Business Media
27 (2014) 8, 1437-1465
OLC Linguistik
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19
Auditory observation of infant-directed speech by mothers: experience-dependent interaction between language and emotion in the basal ganglia
Matsuda, Yoshi-Taka
;
Ueno, Kenichi
;
Cheng, Kang
. - : Frontiers Media S.A., 2014
BASE
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20
Effect of Repeated Evaluation and Repeated Exposure on Acceptability Ratings of Sentences
Zervakis, Jennifer
;
Mazuka, Reiko
In:
Journal of psycholinguistic research. - New York, NY ; London [u.a.] : Springer
42 (2013) 6, 505-525
OLC Linguistik
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