477 citations · 1.7k across the 84 of their papers we have counts for
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Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching
Chih-Kuan Yeh, Jianshu Chen, Chengzhu Yu +1
We consider the problem of training speech recognition systems without using any labeled data, under the assumption that the learner can only access to the input utterances and a p…
A Comparison of Lattice-free Discriminative Training Criteria for Purely Sequence-Trained Neural Network Acoustic Models
Chao Weng, Dong Yu
In this work, three lattice-free (LF) discriminative training criteria for purely sequence-trained neural network acoustic models are compared on LVCSR tasks, namely maximum mutual…
Robust Neural Abstractive Summarization Systems and Evaluation against Adversarial Information
Lisa Fan, Dong Yu, Lu Wang
Sequence-to-sequence (seq2seq) neural models have been actively investigated for abstractive summarization. Nevertheless, existing neural abstractive systems frequently generate fa…
Improving Machine Reading Comprehension with General Reading Strategies
Kai Sun, Dian Yu, Dong Yu +1
Reading strategies have been shown to improve comprehension levels, especially for readers lacking adequate prior knowledge. Just as the process of knowledge accumulation is time-c…
XL-NBT: A Cross-lingual Neural Belief Tracking Framework
Wenhu Chen, Jianshu Chen, Yu Su +4
Task-oriented dialog systems are becoming pervasive, and many companies heavily rely on them to complement human agents for customer service in call centers. With globalization, th…
Deep Extractor Network for Target Speaker Recovery From Single Channel Speech Mixtures
Jun Wang, Jie Chen, Dan Su +4
Speaker-aware source separation methods are promising workarounds for major difficulties such as arbitrary source permutation and unknown number of sources. However, it remains cha…