3.4k citations · 3.7k across the 22 of their papers we have counts for
5 papers · 1 filter
LAPP: Layer Adaptive Progressive Pruning for Compressing CNNs from Scratch
Pucheng Zhai, Kailing Guo, Fang Liu +2
Structured pruning is a commonly used convolutional neural network (CNN) compression approach. Pruning rate setting is a fundamental problem in structured pruning. Most existing wo…
Vesper: A Compact and Effective Pretrained Model for Speech Emotion Recognition
Weidong Chen, Xiaofen Xing, Peihao Chen +1
This paper presents a paradigm that adapts general large-scale pretrained models (PTMs) to speech emotion recognition task. Although PTMs shed new light on artificial general intel…
DWFormer: Dynamic Window transFormer for Speech Emotion Recognition
Shuaiqi Chen, Xiaofen Xing, Weibin Zhang +2
Speech emotion recognition is crucial to human-computer interaction. The temporal regions that represent different emotions scatter in different parts of the speech locally. Moreov…
SpeechFormer++: A Hierarchical Efficient Framework for Paralinguistic Speech Processing
Weidong Chen, Xiaofen Xing, Xiangmin Xu +2
Paralinguistic speech processing is important in addressing many issues, such as sentiment and neurocognitive disorder analyses. Recently, Transformer has achieved remarkable succe…
DST: Deformable Speech Transformer for Emotion Recognition
Weidong Chen, Xiaofen Xing, Xiangmin Xu +2
Enabled by multi-head self-attention, Transformer has exhibited remarkable results in speech emotion recognition (SER). Compared to the original full attention mechanism, window-ba…