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Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech ...
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On the Linguistic Representational Power of Neural Machine Translation Models ...
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Transfer Learning from Audio-Visual Grounding to Speech Recognition ...
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26 |
Unsupervised learning of spoken language with visual context
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In: Neural Information Processing Systems (NIPS) (2019)
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Improving Neural Language Models by Segmenting, Attending, and Predicting the Future ...
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Analysis Methods in Neural Language Processing: A Survey
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In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 49-72 (2019) (2019)
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Domain Attentive Fusion for End-to-end Dialect Identification with Unknown Target Domain ...
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Vision as an Interlingua: Learning Multilingual Semantic Embeddings of Untranscribed Speech ...
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What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models ...
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Identifying and Controlling Important Neurons in Neural Machine Translation ...
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34 |
Convolutional Neural Networks and Language Embeddings for End-to-End Dialect Recognition ...
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Unsupervised Adaptation with Interpretable Disentangled Representations for Distant Conversational Speech Recognition ...
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Frame-level speaker embeddings for text-independent speaker recognition and analysis of end-to-end model ...
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37 |
Unsupervised Representation Learning of Speech for Dialect Identification ...
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38 |
On The Inductive Bias of Words in Acoustics-to-Word Models ...
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MIT-QCRI Arabic Dialect Identification System for the 2017 Multi-Genre Broadcast Challenge ...
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Learning Word-Like Units from Joint Audio-Visual Analysis ...
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