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Personalized Acoustic Modeling by Weakly Supervised Multi-Task Deep Learning using Acoustic Tokens Discovered from Unlabeled Data.

, , , and . CoRR, (2017)

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A Multi-layered Acoustic Tokenizing Deep Neural Network (MAT-DNN) for Unsupervised Discovery of Linguistic Units and Generation of High Quality Features., , , , , , , and . CoRR, (2015)An Iterative Deep Learning Framework for Unsupervised Discovery of Speech Features and Linguistic Units with Applications on Spoken Term Detection., , , , , and . CoRR, (2016)Unsupervised spoken term detection with spoken queries by multi-level acoustic patterns with varying model granularity., , and . ICASSP, page 7814-7818. IEEE, (2014)Unsupervised Spoken Term Detection with Spoken Queries by Multi-level Acoustic Patterns with Varying Model Granularity., , and . CoRR, (2015)Unsupervised Discovery of Structured Acoustic Tokens with Applications to Spoken Term Detection., and . CoRR, (2017)An iterative deep learning framework for unsupervised discovery of speech features and linguistic units with applications on spoken term detection., , , , , and . ASRU, page 245-251. IEEE, (2015)Enhancing automatically discovered multi-level acoustic patterns considering context consistency with applications in spoken term detection., , , and . ICASSP, page 5231-5235. IEEE, (2015)Unsupervised discovery of linguistic structure including two-level acoustic patterns using three cascaded stages of iterative optimization., , and . ICASSP, page 8081-8085. IEEE, (2013)Personalized acoustic modeling by weakly supervised multi-task deep learning using acoustic tokens discovered from unlabeled data., , , and . ICASSP, page 5165-5169. IEEE, (2017)Toward unsupervised model-based spoken term detection with spoken queries without annotated data., , , and . ICASSP, page 8550-8554. IEEE, (2013)