The recent trends in Artificial Intelligence (AI) are all pointing towards the singularity, i.e., the day the true AI is born, which can pass the Turing Test. However, to achieve singularity, AI needs to understand what makes a human. Emotions define the human consciousness. To properly ...
Emotion recognition in faces and the use of visual context Vo in young people with high-functioning autism spectrum disorders We compated young people with high-functioning autism spectrum disorders (ASDs) with age, sex and IQ matched controls on emotion recognition of faces and p... B Wright,...
ERC Architecture:要将预训练的CODE模型(PRE-CODE)转移到ERC任务中,需要对PRE-CODE模型进行微调,这只需要添加一个全连接层(FC),然后添加一个softmax函数形成图4这样的新架构。在该体系架构中,作者还将独立于上下文的话语嵌入连接到上下文嵌入中,然后将其提供给全连接层。 文中采用了加权分类交叉熵损失函数来优化模...
为了更好地实现Transformer中的交互建模,我们设计了三种类型的mask方法,分别对常规上下文建模(conventional context),说话者内相关性(Intra-Speaker)和说话者间相关性(Inter-Speaker)进行建模。此外,Transformer提取的不同的讲话者信息对预测的句子的贡献也不同,因此我们利用注意力机制对它们进行加权。 3、Introduction 论文...
Objective: To investigate the influence of word context on emotion recognition from facial expression.Methods: 28 healthy college students participated in the experiment.The affective priming paradigm was adopted,with 5 different SOAs,i.e.,250 ms,100 ms,0 ms,-100 ms and-250 ms.The prime stimuli...
【论文翻译】DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations,DialogueCRN:会话中情感识别的上下文推理网络作者:DouHu,LingweiWei,XiaoyongHuai原文地址:DialogueCRN:ContextualReasoningNetworksforEmotionRecognitioninConvers
PyTorch implementation of Emotic CNN methodology to recognize emotions in images using context information. sceneemotion-analysisemotionsemotion-detectionemotion-recognitionemotic UpdatedJan 8, 2024 Python Example projects built with the Hume AI APIs
Context-Aware Emotion Recognition (CAER) is a crucial and challenging task that aims to perceive the emotional states of the target person with contextual information. Recent approaches invariably focus on designing sophisticated architectures or mechanisms to extract seemingly meaningful representations from...
(emotion recognition + emotion change prediction) deep learning framework to infer the user's emotive states and emotive state changes simultaneously. Pipeline:首先抽取frame-level的Acoustic features 以及 word2vec 特征,然后经过进行多模态特征融合,多层非线性变换得到多模态情感特征,然后进行情感状态的识别。第...
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation 对话GCN:一个用于对话情感识别的图卷积神经网络 出处:EMNLP 2019 Abstract 会话中的情感识别(Emotion recognition in conversation,ERC)近来因在医疗、教育、人力资源等领域的广泛应用而受到研究者的广泛关注。本文提出了对话图卷积...