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Using Spoken Word Posterior Features in Neural Machine Translation.

, , , , and . IWSLT, page 189-195. International Conference on Spoken Language Translation, (2018)

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Message of the O-COCOSDA convener.. O-COCOSDA, page 1. IEEE, (2014)Towards language preservation: Design and collection of graphemically balanced and parallel speech corpora of Indonesian ethnic languages., and . O-COCOSDA/CASLRE, page 1-5. IEEE, (2013)Semi-blind algorithm for joint noise suppression and dereverberation based on higher-order statistics and acoustic model likelihood., , , , and . APSIPA, page 1-6. IEEE, (2013)Deception Detection and Analysis in Spoken Dialogues based on FastText., , , and . APSIPA, page 139-142. IEEE, (2018)Evaluation Framework for Distant-talking Speech Recognition under Reverberant Environments: newest Part of the CENSREC Series -., , , , , , , , , and 4 other author(s). LREC, European Language Resources Association, (2008)Acoustical Sound Database in Real Environments for Sound Scene Understanding and Hands-Free Speech Recognition., , , , and . LREC, European Language Resources Association, (2000)The Present Status of Speech Database in Japan: Development, Management, and Application to Speech Research., , , , , and . LREC, European Language Resources Association, (2002)Efficient representation of short-time phase based on group delay., , , , and . ICASSP, page 861-864. IEEE, (1998)Listening while speaking: Speech chain by deep learning., , and . ASRU, page 301-308. IEEE, (2017)Feature optimized DPGMM clustering for unsupervised subword modeling: A contribution to zerospeech 2017., , and . ASRU, page 740-746. IEEE, (2017)