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Local Monotonic Attention Mechanism for End-to-End Speech And Language Processing.

, , and . IJCNLP(1), page 431-440. Asian Federation of Natural Language Processing, (2017)

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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)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)Deception Detection and Analysis in Spoken Dialogues based on FastText., , , and . APSIPA, page 139-142. IEEE, (2018)Eliciting Positive Emotional Impact in Dialogue Response Selection., , , and . IWSDS, volume 510 of Lecture Notes in Electrical Engineering, page 135-148. Springer, (2017)Structured-based Curriculum Learning for End-to-end English-Japanese Speech Translation., , and . CoRR, (2018)End-to-End Feedback Loss in Speech Chain Framework via Straight-Through Estimator., , and . CoRR, (2018)Adaptive Wavenet Vocoder for Residual Compensation in GAN-Based Voice Conversion., , , , and . SLT, page 282-289. IEEE, (2018)Sequence-to-Sequence Models for Emphasis Speech Translation., , and . IEEE ACM Trans. Audio Speech Lang. Process., 26 (10): 1873-1883 (2018)Speech recognition features based on deep latent Gaussian models., , and . MLSP, page 1-6. IEEE, (2017)