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20182020
most citedImproving Transformer-based Speech Recognition Using Unsupervised Pre-training

102 citations · 111 across the 2 of their papers we have counts for

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5 papers · 1 filter

cs.CL2020

TMT: A Transformer-based Modal Translator for Improving Multimodal Sequence Representations in Audio Visual Scene-aware Dialog

Wubo Li, Dongwei Jiang, Wei Zou +1

Audio Visual Scene-aware Dialog (AVSD) is a task to generate responses when discussing about a given video. The previous state-of-the-art model shows superior performance for this…

cs.CL2020

Speech SIMCLR: Combining Contrastive and Reconstruction Objective for Self-supervised Speech Representation Learning

Dongwei Jiang, Wubo Li, Miao Cao +2

Self-supervised visual pretraining has shown significant progress recently. Among those methods, SimCLR greatly advanced the state of the art in self-supervised and semi-supervised…

cs.CL2019102 cited

Improving Transformer-based Speech Recognition Using Unsupervised Pre-training

Dongwei Jiang, Xiaoning Lei, Wubo Li +4

Speech recognition technologies are gaining enormous popularity in various industrial applications. However, building a good speech recognition system usually requires large amount…

cs.CL2018

Towards End-to-End Code-Switching Speech Recognition

Ne Luo, Dongwei Jiang, Shuaijiang Zhao +3

Code-switching speech recognition has attracted an increasing interest recently, but the need for expert linguistic knowledge has always been a big issue. End-to-end automatic spee…

cs.CL2018

A comparable study of modeling units for end-to-end Mandarin speech recognition

Wei Zou, Dongwei Jiang, Shuaijiang Zhao +1

End-To-End speech recognition have become increasingly popular in mandarin speech recognition and achieved delightful performance. Mandarin is a tonal language which is different f…