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The Zero Resource Speech Challenge 2020: Discovering Discrete Subword and Word Units.

, , , , , , , , and . INTERSPEECH, page 4831-4835. ISCA, (2020)

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The Zero Resource Speech Challenge 2017., , , , , , , and . CoRR, (2017)Independent and Automatic Evaluation of Speaker-Independent Acoustic-to-Articulatory Reconstruction., , and . INTERSPEECH, page 3740-3744. ISCA, (2020)Predicting non-native speech perception using the Perceptual Assimilation Model and state-of-the-art acoustic models., , and . CoRR, (2022)Learning Weakly Supervised Multimodal Phoneme Embeddings., , , and . INTERSPEECH, page 2218-2222. ISCA, (2017)A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition., , , , , , , , , and 17 other author(s). ICASSP, page 8111-8115. IEEE, (2013)Modelling Perceptual Effects of Phonology with ASR Systems., , , , and . CogSci, cognitivesciencesociety.org, (2020)A Single-Stage Approach to Learning Phonological Categories: Insights From Inuktitut., , and . Cogn. Sci., 37 (2): 344-377 (2013)Are word boundaries useful for unsupervised language learning?, , , , , and . CoRR, (2022)Toward a realistic model of speech processing in the brain with self-supervised learning., , , , , , , and . NeurIPS, (2022)Predicting non-native speech perception using the Perceptual Assimilation Model and state-of-the-art acoustic models., , and . CoNLL, page 661-673. Association for Computational Linguistics, (2021)