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1
Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models ...
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Differentiable Allophone Graphs for Language-Universal Speech Recognition ...
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3
AlloVera: A Multilingual Allophone Database ...
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4
Towards Zero-shot Learning for Automatic Phonemic Transcription ...
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5
How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language ...
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6
Universal Phone Recognition with a Multilingual Allophone System ...
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7
Phoneme Level Language Models for Sequence Based Low Resource ASR ...
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8
Multilingual Speech Recognition with Corpus Relatedness Sampling ...
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9
On Leveraging the Visual Modality for Neural Machine Translation ...
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10
Acoustic-to-Word Models with Conversational Context Information ...
Kim, Suyoun; Metze, Florian. - : arXiv, 2019
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11
Learned In Speech Recognition: Contextual Acoustic Word Embeddings ...
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12
On Dimensional Linguistic Properties of the Word Embedding Space ...
Abstract: Word embeddings have become a staple of several natural language processing tasks, yet much remains to be understood about their properties. In this work, we analyze word embeddings in terms of their principal components and arrive at a number of novel and counterintuitive observations. In particular, we characterize the utility of variance explained by the principal components as a proxy for downstream performance. Furthermore, through syntactic probing of the principal embedding space, we show that the syntactic information captured by a principal component does not correlate with the amount of variance it explains. Consequently, we investigate the limitations of variance based embedding post-processing and demonstrate that such post-processing is counter-productive in sentence classification and machine translation tasks. Finally, we offer a few precautionary guidelines on applying variance based embedding post-processing and explain why non-isotropic geometry might be integral to word embedding ... : Published at ACL RepL4NLP 2020 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
URL: https://arxiv.org/abs/1910.02211
https://dx.doi.org/10.48550/arxiv.1910.02211
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13
Late fusion of individual engines for improved recognition of negative emotion in speech - learning vs. democratic vote ...
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14
Sequence-based Multi-lingual Low Resource Speech Recognition ...
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15
Improving Low-Resource CD-DNN-HMM Using Dropout and Multilingual DNN Training ...
Yajie Miao; Metze, Florian. - : Figshare, 2018
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16
Distributed Learning of Multilingual DNN Feature Extractors using GPUs ...
Yajie Miao; Zhang, Hao; Metze, Florian. - : Figshare, 2018
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17
Improving Low-Resource CD-DNN-HMM Using Dropout and Multilingual DNN Training ...
Yajie Miao; Metze, Florian. - : Figshare, 2018
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18
Distributed Learning of Multilingual DNN Feature Extractors using GPUs ...
Yajie Miao; Zhang, Hao; Metze, Florian. - : Figshare, 2018
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19
Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop ...
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20
A keyword search system using open source software ...
Trmal, Jan; Guoguo Chen; Povey, Dan. - : Figshare, 2018
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