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10/27/2022
Make More of Your Data: Minimal Effort Data Augmentation for Automatic Speech Recognition and Translation
Data augmentation is a technique to generate new training data based on ...
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09/01/2022
Ensembling Neural Networks for Improved Prediction and Privacy in Early Diagnosis of Sepsis
Ensembling neural networks is a long-standing technique for improving th...
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03/16/2022
Sample, Translate, Recombine: Leveraging Audio Alignments for Data Augmentation in End-to-end Speech Translation
End-to-end speech translation relies on data that pair source-language s...
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04/03/2021
On-the-Fly Aligned Data Augmentation for Sequence-to-Sequence ASR
We propose an on-the-fly data augmentation method for automatic speech r...
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10/30/2020
Embedding Meta-Textual Information for Improved Learning to Rank
Neural approaches to learning term embeddings have led to improved compu...
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10/21/2020
Cascaded Models With Cyclic Feedback For Direct Speech Translation
Direct speech translation describes a scenario where only speech inputs ...
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09/20/2019
Leveraging Implicit Expert Knowledge for Non-Circular Machine Learning in Sepsis Prediction
Sepsis is the leading cause of death in non-coronary intensive care unit...
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07/04/2019
Interactive-Predictive Neural Machine Translation through Reinforcement and Imitation
We propose an interactive-predictive neural machine translation framewor...
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01/15/2016
