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

102 citations · 186 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2020★ 2 cited

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★ 14 cited

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…

eess.AS2020★ 4 cited

DiDiSpeech: A Large Scale Mandarin Speech Corpus

Tingwei Guo, Cheng Wen, Dongwei Jiang +8

This paper introduces a new open-sourced Mandarin speech corpus, called DiDiSpeech. It consists of about 800 hours of speech data at 48kHz sampling rate from 6000 speakers and the…

eess.AS2020★ 7 cited

Transformer based unsupervised pre-training for acoustic representation learning

Ruixiong Zhang, Haiwei Wu, Wubo Li +3

Recently, a variety of acoustic tasks and related applications arised. For many acoustic tasks, the labeled data size may be limited. To handle this problem, we propose an unsuperv…

eess.AS2020★ 9 cited

A Further Study of Unsupervised Pre-training for Transformer Based Speech Recognition

Dongwei Jiang, Wubo Li, Ruixiong Zhang +5

Building a good speech recognition system usually requires large amounts of transcribed data, which is expensive to collect. To tackle this problem, many unsupervised pre-training…

cs.CL2019★ 102 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★ 43 cited

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★ 5 cited

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…