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Recurrent Distillation based Crowd Counting
In recent years, with the progress of deep learning technologies, crowd ...
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A Monaural Speech Enhancement Method for Robust Small-Footprint Keyword Spotting
Robustness against noise is critical for keyword spotting (KWS) in real-...
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RHR-Net: A Residual Hourglass Recurrent Neural Network for Speech Enhancement
Most current speech enhancement models use spectrogram features that req...
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Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment
Multimodal affective computing, learning to recognize and interpret huma...
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Deep Multimodal Learning for Emotion Recognition in Spoken Language
In this paper, we present a novel deep multimodal framework to predict h...
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Yue Gu
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