EE World Online

What are attention mechanisms, and how do they work in speech and audio processing?

This FAQ talks about how attention mechanisms work at their core, how they are used in automatic speech recognition systems, ...

Penny Liang: Understanding Large Models for Humanities Students (1.0)

"Understanding Large Models for Humanities Students (1.0)" is written by Penny Liang, offering a simplified perspective to ...
IEEE

High-Fidelity Pansharpening via Trigeminal Pyramid Decoding of CNN-Transformer Encoded Features

Abstract: Spectral and spatial fidelity remains a longstanding challenge in the field of pansharpening, which aims to generate high-resolution multispectral (HRMS) images by integrating ...
IEEE

Improved Encoder-Decoder Architecture With Human-Like Perception Attention for Monaural Speech Enhancement

Abstract: Speech enhancement (SE) models based on deep neural networks (DNNs) have shown excellent denoising performance. However, mainstream SE models often have high structural complexity and large ...
GitHub

encoder-decoder-architecture

Add a description, image, and links to the encoder-decoder-architecture topic page so that developers can more easily learn about it.
Frontiers

PlgFormer: parallel extraction of local-global features for AD diagnosis on sMRI using a unified CNN-transformer architecture

Introduction: Structural magnetic resonance imaging (sMRI) is an important tool for the early diagnosis of Alzheimer's disease (AD). Previous methods based on voxel, region of interests (ROIs) or ...