2.2k citations · 3.2k across the 79 of their papers we have counts for
10 papers · 1 filter
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…
DiDi's Machine Translation System for WMT2020
Tanfang Chen, Weiwei Wang, Wenyang Wei +4
This paper describes DiDi AI Labs' submission to the WMT2020 news translation shared task. We participate in the translation direction of Chinese->English. In this direction, we us…
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…
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…
On Loss Functions and Recurrency Training for GAN-based Speech Enhancement Systems
Zhuohuang Zhang, Chengyun Deng, Yi Shen +5
Recent work has shown that it is feasible to use generative adversarial networks (GANs) for speech enhancement, however, these approaches have not been compared to state-of-the-art…
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…
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…
Adversarial Multi-Binary Neural Network for Multi-class Classification
Haiyang Xu, Junwen Chen, Kun Han +1
Multi-class text classification is one of the key problems in machine learning and natural language processing. Emerging neural networks deal with the problem using a multi-output…
Learning Syntactic and Dynamic Selective Encoding for Document Summarization
Haiyang Xu, Yahao He, Kun Han +2
Text summarization aims to generate a headline or a short summary consisting of the major information of the source text. Recent studies employ the sequence-to-sequence framework t…
Selective Attention Encoders by Syntactic Graph Convolutional Networks for Document Summarization
Haiyang Xu, Yun Wang, Kun Han +3
Abstractive text summarization is a challenging task, and one need to design a mechanism to effectively extract salient information from the source text and then generate a summary…