Abstract: Automatic speech recognition (ASR) systems often rely on autoregressive (AR) Transformer decoder architectures, which limit efficient inference parallelization due to their sequential nature ...
Within Convolutional Neural Network (CNN), the convolution operations are good at extracting local features but experience difficulty to capture global representations. Within visual transformer, the ...
Abstract: Change detection in remote sensing images analyzes and characterizes surface changes using multi-temporal data. Yet, in complex scenes with diverse targets, deep-learning methods often yield ...
Efficient Conformer: Progressive Downsampling and Grouped Attention for Automatic Speech Recognition
Inspired from previous works done in Automatic Speech Recognition and Computer Vision, the Efficient Conformer encoder is composed of three encoder stages where each stage comprises a number of ...
Researchers at Nanyang Technological University have 3D printed sacrificial molds to create a self-sensing soft continuum ...
In this article, we outline the ongoing conceptual transition of Parkinson disease (PD) from a clinically defined syndrome to a biologically defined disorder. We synthesize recent advances in ...
Why cold weather can make it difficult for us to get about What we can do to stop ice being a problem on roads and pavements How cold weather affects plants and trees How we can keep our home warm in ...
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