24 citations · 106 across the 18 of their papers we have counts for
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cs.CL2021
Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis
Wei Han, Hui Chen, Soujanya Poria
In multimodal sentiment analysis (MSA), the performance of a model highly depends on the quality of synthesized embeddings. These embeddings are generated from the upstream process…
cs.CL2021★ 2 cited
Bridging the gap between streaming and non-streaming ASR systems bydistilling ensembles of CTC and RNN-T models
Thibault Doutre, Wei Han, Chung-Cheng Chiu +3
Streaming end-to-end automatic speech recognition (ASR) systems are widely used in everyday applications that require transcribing speech to text in real-time. Their minimal latenc…
eess.AS2021★ 1 cited
Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models
Zhiyun Lu, Wei Han, Yu Zhang +1
Although end-to-end automatic speech recognition (e2e ASR) models are widely deployed in many applications, there have been very few studies to understand models' robustness agains…