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The zero resource speech challenge 2017., , , , , , , and . ASRU, page 323-330. IEEE, (2017)Independent and Automatic Evaluation of Speaker-Independent Acoustic-to-Articulatory Reconstruction., , and . INTERSPEECH, page 3740-3744. ISCA, (2020)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)Learning Weakly Supervised Multimodal Phoneme Embeddings., , , and . INTERSPEECH, page 2218-2222. ISCA, (2017)RNNs implicitly implement tensor-product representations., , , and . ICLR (Poster), OpenReview.net, (2019)The Zero Resource Speech Benchmark 2021: Metrics and baselines for unsupervised spoken language modeling., , , , , , , and . CoRR, (2020)Analogies minus analogy test: measuring regularities in word embeddings., , and . CoNLL, page 365-375. Association for Computational Linguistics, (2020)The Zero Resource Speech Challenge 2019: TTS Without T., , , , , , , , , and 3 other author(s). INTERSPEECH, page 1088-1092. ISCA, (2019)The Zero Resource Speech Challenge 2021: Spoken Language Modelling., , , , , , , , and . Interspeech, page 1574-1578. ISCA, (2021)