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Exploiting Depth and Highway Connections in Convolutional Recurrent Deep Neural Networks for Speech Recognition.

, , , and . INTERSPEECH, page 395-399. ISCA, (2016)

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Automatic highlights extraction for drama video using music emotion and human face features., , , , and . Neurocomputing, (2013)Mispronunciation detection without nonnative training data., and . INTERSPEECH, page 643-647. ISCA, (2015)Automatic multi-atlas segmentation using dual registrations., , , , , , , and . ISBI, page 1284-1287. (2013)Automatic highlights extraction for drama video using music emotion and human face features., , , , and . MMSP, page 1-6. IEEE, (2011)Language-independent methods for computer-assisted pronunciation training.. Massachusetts Institute of Technology, Cambridge, USA, (2016)ndltd.org (oai:dspace.mit.edu:1721.1/107338).textless-lib: a Library for Textless Spoken Language Processing., , , , , , , , , and 1 other author(s). CoRR, (2022)Personalized mispronunciation detection and diagnosis based on unsupervised error pattern discovery., , and . ICASSP, page 6145-6149. IEEE, (2016)Exploiting Depth and Highway Connections in Convolutional Recurrent Deep Neural Networks for Speech Recognition., , , and . INTERSPEECH, page 395-399. ISCA, (2016)Context-dependent pronunciation error pattern discovery with limited annotations., and . INTERSPEECH, page 2877-2881. ISCA, (2014)Self-Training for End-to-End Speech Recognition., , and . CoRR, (2019)