2.2k citations · 3.2k across the 79 of their papers we have counts for
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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…
TCT: A Cross-supervised Learning Method for Multimodal Sequence Representation
Wubo Li, Wei Zou, Xiangang Li
Multimodalities provide promising performance than unimodality in most tasks. However, learning the semantic of the representations from multimodalities efficiently is extremely ch…
Cross-task pre-training for on-device acoustic scene classification
Ruixiong Zhang, Wei Zou, Xiangang Li
Acoustic scene classification (ASC) and acoustic event detection (AED) are different but related tasks. Acoustic events can provide useful information for recognizing acoustic scen…
Learning Alignment for Multimodal Emotion Recognition from Speech
Haiyang Xu, Hui Zhang, Kun Han +3
Speech emotion recognition is a challenging problem because human convey emotions in subtle and complex ways. For emotion recognition on human speech, one can either extract emotio…
DELTA: A DEep learning based Language Technology plAtform
Kun Han, Junwen Chen, Hui Zhang +20
In this paper we present DELTA, a deep learning based language technology platform. DELTA is an end-to-end platform designed to solve industry level natural language and speech pro…