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Calibration of distance measures for unsupervised query-by-example., , and . INTERSPEECH, page 2639-2643. ISCA, (2013)Detecting words in speech using linear separability in a bag-of-events vector space., and . INTERSPEECH, page 680-684. ISCA, (2013)Dealing with uncertain input in word learning., , and . ICDL, page 46-51. IEEE, (2010)Cross-lingual intent classification in a low resource industrial setting., , , , and . EMNLP/IJCNLP (1), page 6418-6423. Association for Computational Linguistics, (2019)Bridging the gap between speech technology and natural language processing: an evaluation toolbox for term discovery systems., , , , , , and . LREC, page 560-567. European Language Resources Association (ELRA), (2014)Modelling Novelty Preference in Word Learning., , and . INTERSPEECH, page 761-764. ISCA, (2011)The Zero Resource Speech Challenge 2015: Proposed Approaches and Results., , , and . SLTU, volume 81 of Procedia Computer Science, page 67-72. Elsevier, (2016)Learning Text Similarity with Siamese Recurrent Networks., , and . Rep4NLP@ACL, page 148-157. Association for Computational Linguistics, (2016)Active word learning under uncertain input conditions., , and . INTERSPEECH, page 2930-2933. ISCA, (2010)Acoustic correlates of phonological status., , and . INTERSPEECH, page 91-95. ISCA, (2014)