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How much does prosody help word segmentation? A simulation study on infant-directed speech
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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)
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Does infant-directed speech help phonetic learning? A machine learning investigation
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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)
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Does Infant-Directed Speech Help Phonetic Learning? A Machine Learning Investigation
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Why is Japanese not difficult to process?: A proposal to integrate parameter setting in Universal Grammar and parsing
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In: North East Linguistics Society (2020)
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Normalization may be ineffective for phonetic category learning ...
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Nasal Consonant Discrimination in Infant- and Adult-Directed Speech
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Abstract:
Ludusan B, Jorschick A, Mazuka R. Nasal Consonant Discrimination in Infant- and Adult-Directed Speech. In: Interspeech 2019 . ISCA; 2019. ; Infant-directed speech (IDS) is thought to play a facilitating role in language acquisition, by simplifying the input infants receive. In particular, the hypothesis that the acoustic level is enhanced to make the input more clear for infants, has been extensively studied in the case of vowels, but less so in the case of consonants. An investigation into how nasal consonants can be discriminated in infant- compared to adult-directed speech (ADS) was performed, on a corpus of Japanese mother-infant spontaneous conversations, by examining all bilabial and alveolar nasals occurring in intervocalic position. The Pearson correlation between corresponding spectrum slices of nasal consonants, in identical vowel contexts, was employed as similarity measure and a statistical model was fit using this information. It revealed a decrease in similarity between the nasal classes, in IDS compared to ADS, although the effect was not statistically significant. We confirmed these results, using an unsupervised machine learning algorithm to discriminate between the two nasal classes, obtaining similar classification performance in IDS and ADS. We discuss our findings in the context of the current literature on infant-directed speech.
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Keyword:
ddc:410
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URL: https://nbn-resolving.org/urn:nbn:de:0070-pub-29396257
https://pub.uni-bielefeld.de/record/2939625
https://pub.uni-bielefeld.de/download/2939625/2939626
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Normalization may be ineffective for phonetic category learning
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In: Proceedings of the Society for Computation in Linguistics (2019)
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Are Words Easier to Learn From Infant- Than Adult-Directed Speech? A Quantitative Corpus-Based Investigation
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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)
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The Role of Prosody and Speech Register in Word Segmentation: A Computational Modelling Perspective
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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 |
Are words easier to learn from infant- than adult-directed speech? A quantitative corpus-based investigation ...
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Age-Dependent Effects of Catechol-O-Methyltransferase (COMT) Gene Val158Met Polymorphism on Language Function in Developing Children
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The acoustic salience of prosody trumps infants' acquired knowledge of language-specific prosodic patterns
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Auditory observation of infant-directed speech by mothers: experience-dependent interaction between language and emotion in the basal ganglia
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