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Deep bottleneck features and sound-dependent i-vectors for simultaneous recognition of speech and environmental sounds.

, , , , and . SLT, page 35-42. IEEE, (2016)

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Optimization for Statistical Machine Translation: A Survey., and . Computational Linguistics, 42 (1): 1-54 (2016)Active Learning for Example-Based Dialog Systems., , , , and . IWSDS, volume 427 of Lecture Notes in Electrical Engineering, page 67-78. Springer, (2016)Discriminative Language Models as a Tool for Machine Translation Error Analysis., , , , and . COLING, page 1124-1132. ACL, (2014)Evaluation Phonemic Transcription of Low-Resource Tonal Languages for Language Documentation., , , , , and . LREC, European Language Resources Association (ELRA), (2018)Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction., and . ACL (1), page 310-320. Association for Computational Linguistics, (2017)Extreme Adaptation for Personalized Neural Machine Translation., and . ACL (2), page 312-318. Association for Computational Linguistics, (2018)Zero-Shot Neural Transfer for Cross-Lingual Entity Linking., , , and . AAAI, page 6924-6931. AAAI Press, (2019)Adaptive selection from multiple response candidates in example-based dialogue., , , , , , , and . ASRU, page 784-790. IEEE, (2015)A study of social-affective communication: Automatic prediction of emotion triggers and responses in television talk shows., , , , , and . ASRU, page 777-783. IEEE, (2015)Removing noise from event-related potentials using a probabilistic generative model with grouped covariance matrices., , , , and . EMBC, page 3728-3731. IEEE, (2016)