46 citations · 177 across the 28 of their papers we have counts for
Showing 2017 · cs.CLShow all
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cs.CL2017★ 4 cited
Sequence Prediction with Neural Segmental Models
Hao Tang
Segments that span contiguous parts of inputs, such as phonemes in speech, named entities in sentences, actions in videos, occur frequently in sequence prediction problems. Segment…
cs.CL2017★ 29 cited
End-to-End Neural Segmental Models for Speech Recognition
Hao Tang, Liang Lu, Lingpeng Kong +5
Segmental models are an alternative to frame-based models for sequence prediction, where hypothesized path weights are based on entire segment scores rather than a single frame at…
cs.CL2017
Multitask Learning with Low-Level Auxiliary Tasks for Encoder-Decoder Based Speech Recognition
Shubham Toshniwal, Hao Tang, Liang Lu +1
End-to-end training of deep learning-based models allows for implicit learning of intermediate representations based on the final task loss. However, the end-to-end approach ignore…