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Basic cuts revisited: Temporal segmentation of speech into phone-like units with statistical learning at a pre-linguistic level.

. CogSci, cognitivesciencesociety.org, (2014)

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A Computational Model of Early Language Acquisition from Audiovisual Experiences of Young Infants., and . INTERSPEECH, page 3594-3598. ISCA, (2019)Average Spectrotemporal Structure of Continuous Speech Matches with the Frequency Resolution of Human Hearing.. INTERSPEECH, page 1444-1447. ISCA, (2012)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)Development of a novel robust measure for interhemispheric synchrony in the neonatal EEG: Activation Synchrony Index (ASI)., , and . NeuroImage, (2013)Automatic self-supervised learning of associations between speech and text., , and . INTERSPEECH, page 465-469. ISCA, (2013)Automatic Analysis of the Emotional Content of Speech in Daylong Child-Centered Recordings from a Neonatal Intensive Care Unit., , , and . Interspeech, page 3380-3384. ISCA, (2021)Automatic Assessment of Parkinson's Disease Using Speech Representations of Phonation and Articulation., , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2023)Data Augmentation Strategies for Neural Network F0 Estimation., , , and . ICASSP, page 6485-6489. IEEE, (2019)Crowdsourcing and Evaluating Text-Based Audio Retrieval Relevances., , , and . CoRR, (2023)