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Introducing Meta-analysis in the Evaluation of Computational Models of Infant Language Development.

, , and . Cogn. Sci., (July 2023)

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Unsupervised Discovery of Recurring Speech Patterns Using Probabilistic Adaptive Metrics., and . INTERSPEECH, page 4871-4875. ISCA, (2020)Analysing the Impact of Audio Quality on the Use of Naturalistic Long-Form Recordings for Infant-Directed Speech Research., , and . CogSci, cognitivesciencesociety.org, (2023)Computational Insights to Acquisition of Phonemes, Words, and Word Meanings in Early Language: Sequential or Parallel Acquisition?, , and . CogSci, cognitivesciencesociety.org, (2023)Simultaneous or Sequential Training? How Speech Representations Cooperate in a Multi-Task Self-Supervised Learning System., , , and . EUSIPCO, page 431-435. IEEE, (2023)Analysis of Predictive Coding Models for Phonemic Representation Learning in Small Datasets., and . CoRR, (2020)Toward Dialogue Modeling: A Semantic Annotation Scheme for Questions and Answers., , , , and . LAW@ACL, page 230-235. Association for Computational Linguistics, (2019)BabySLM: language-acquisition-friendly benchmark of self-supervised spoken language models., , , , , , , and . CoRR, (2023)Introducing Meta-analysis in the Evaluation of Computational Models of Infant Language Development., , and . Cogn. Sci., (July 2023)Is Reliability of Cognitive Measures in Children Dependent on Participant Age? A Case Study with Two Large-Scale Datasets., , and . CogSci, cognitivesciencesociety.org, (2023)