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Fully unsupervised small-vocabulary speech recognition using a segmental bayesian model

, , and . Sixteenth Annual Conference of the International Speech Communication Association, (2015)

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Unsupervised Dependency Parsing with Acoustic Cues., and . TACL, (2013)Fully unsupervised small-vocabulary speech recognition using a segmental bayesian model, , and . Sixteenth Annual Conference of the International Speech Communication Association, (2015)Unsupervised neural network based feature extraction using weak top-down constraints., , , and . ICASSP, page 5818-5822. IEEE, (2015)Classifying topics in speech when all you have is crummy translations., , , and . CoRR, (2019)Unsupervised word segmentation and lexicon discovery using acoustic word embeddings., , and . CoRR, (2016)Semantic Parsing with Bayesian Tree Transducers., , and . ACL (1), page 488-496. The Association for Computer Linguistics, (2012)Which Words Are Hard to Recognize? Prosodic, Lexical, and Disfluency Factors that Increase ASR Error Rates., , and . ACL, page 380-388. The Association for Computer Linguistics, (2008)Pre-training on high-resource speech recognition improves low-resource speech-to-text translation., , , , and . NAACL-HLT (1), page 58-68. Association for Computational Linguistics, (2019)Modeling Graph Languages with Grammars Extracted via Tree Decompositions., , and . FSMNLP, page 54-62. The Association for Computer Linguistics, (2013)Lexical Generalization in CCG Grammar Induction for Semantic Parsing., , , and . EMNLP, page 1512-1523. ACL, (2011)