Emotion Recognition

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Emotion Recognition

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Emotion

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Empathy

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Affective Computing

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Valence-Arousal Estimation

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Affective

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Emotional Support

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Particular Emotion-Aware Response

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333 papers

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Sparse Autoencoders for Interpretable Emotion Control in Text-to-Speech
May 31, 2026Hongfei Du, Jiacheng Shi, Sidi Lu +2Emotion Expressivity
A 1000-hour EEG-EMG-audio dataset of Japanese speech production
May 31, 2026Motoshige Sato, Ilya Horiguchi, Masakazu Inoue +6Electrocorticography Electroencephalography Spatial Super-Resolution
A Multiscale Network with Supervised Contrastive Learning for Real-Time Facial Emotion Recognition
May 31, 2026Rejoy Chakraborty, Archisman Adhikary, Chayan Halder +3Facial Expression Recognition Particular Emotion-Aware Response
Dive into Waves: Morlet Spectral Transformer for Cross-Subject Emotion Decoding from EEG
May 30, 2026Jiaxin Qing, Lexin LiElectroencephalography Spatial Super-Resolution Emotion Recognition
Sympatheia: Emotionally Adaptive Voice Assistant with Continuous Affect Conditioning
May 30, 2026Sukru Samet Dindar, Riki Shimizu, Xilin Jiang +1Affective Computing Voice Agents
From Empathy to Personalized Empathy: Adapting Empathetic Strategies to Individual Users
May 30, 2026Wuqiang Zheng, Chengbing Wang, Yilin Yang +6Empathy Large Language Model Adaptation
Literary Emotions in Motion: A Soft Robotics Installation for Tactile Storytelling
May 29, 2026Carolina Silva-Plata, Abraham Villavicencio-Carmona, Miguel Silva Plata +2Soft Robots Tactile Perception
Appropriateness of Empathy in AI: A Signal-Cost Perspective
May 29, 2026Chi-Ching Juan, Tao Wang, Harold LeeEmpathy Personalization
UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment
May 29, 2026Zheng Wang, Shuo Wang, Junhong WangEmotion Recognition Cross-Modal Fusion
Evaluation of Conversational Agents: Understanding Culture, Context and Environment in Emotion Detection
May 28, 2026Martha Teiko Teye, Yaw Marfo Missah, Emmanuel Ahene +2Emotion Recognition Humor
Benchmarking Positional Encoding Strategies for Transformer-Based EEG Foundation Models
May 28, 2026Ayse Betul Yuce, Sebastian StoberElectroencephalography Foundation Models Motor Imagery
User-Aware Active Knowledge Acquisition for Emotional Support Dialogue
May 28, 2026Mufan Xu, Kehai Chen, Jiahao Hu +4Emotional Support Active Learning
Affective Music Recommendation: A Rollout-Based World Model for Offline Preference Optimization
May 27, 2026Audrey Chan, Aaron Labbé, Jacob Lavoie +4Affective Computing Conversational Music Recommendation
Multimodal Group Emotion Recognition In-the-Wild Towards a Privacy-Safe Non-Individual Approach
May 27, 2026Anderson AugusmaEmotion Recognition Group
When Seekers Are Hard to Help: Evaluating Emotional Support Dialogue Systems in Worst-Case Interactions
May 27, 2026Jiajie Yang, Yangchun Li, Guanyi Chen +3Emotional Support Particular Emotion-Aware Response
Supervised Semantic Differential for Cross-Cultural Concept Analysis: A Case Study of Human Affect
May 27, 2026Jan Sikora, Paweł Lenartowicz, Hubert PlisieckiCross-Cultural Study Affective
ESC-Skills: Discovering and Self-Evolving Skills for Emotional Support Conversations
May 27, 2026Jie Zhu, Huaixia Dou, Shuo Jiang +5Emotional Support Skill Evolution
Narrative Flattening: How Post-Training Compresses Thematic, Affective, and Stylistic Variation in LLM Fiction
May 27, 2026Zehan Li, Yutong Zhu, Siyang Wu +2Llm-Generated Stories Large Language Model Post-Training
ENPMR-Bench: Benchmarking Proactive Memory Retrieval for Emotional Support Agents
May 26, 2026Xing Fu, Yulin Hu, Mengtong Ji +5Agent Memory Empathy
Resource-Constrained Affect Modelling via Variance Regularisation Pruning
May 26, 2026Kosmas Pinitas, Konstantinos KatsifisAffective Computing Heterogeneous Pruning Scores
EmoDistill: Offline Emotion Skill Distillation for Language Model Agents in Adversarial Negotiation
May 26, 2026Yunbo Long, Haolang Zhao, Lukas Beckenbauer +2Negotiation Emotion
MSCGC-KAN: Multi-scale Causal Graph Convolution and Kolmogorov-Arnold Feature Mapping for EEG Emotion Recognition
May 26, 2026Haoliang Gong, Qingshan She, Jiale Xu +2Electroencephalography Foundation Models Emotion Recognition
Dimensional Distribution Emotion State: Leveraging Valence and Arousal as a Common Embedding Space for Visual Emotion Analysis
May 25, 2026Émile Bergeron, Tadagbé Dhossou, Sébastien Tremblay +1Emotion Recognition Valence-Arousal Estimation
AI-Assisted Systematization for Evaluating GenAI Systems
May 25, 2026Dhruv Agarwal, Emily Sheng, Chad Atalla +6Generative Artificial Intelligence Artificial Intelligence Evaluation
They Are Not the Same: Direct Causes Are Not Grounded Emotion Explanations
May 24, 2026Zhuangzhuang Pan, Yan Xia, Chee Seng ChanEmotion Contextual Cues
From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition
May 24, 2026Dimitrios Kollias, Panagiotis Tzirakis, Alan Cowen +10Affective Computing Multimodal Artificial Intelligence
GL-LFGNN:A Global-Local Dual-branch Causal Graph Neural Network Based on Liang-Kleeman Information Flow for EEG Emotion Recognition
May 24, 2026Ziyi Wang, Dongyang KuangHuman Brain Networks Emotion Recognition
Interpretation, Learning, and Empathy as One Constraint: A Residual-Adequacy Architecture with Accountable Abstention
May 24, 2026Chainarong AmornbunchornvejAbstention Artificial Intelligence Agents
Overview of the PsyDefDetect Shared Task at BioNLP 2026: Detecting Levels of Psychological Defense Mechanisms in Supportive Conversations
May 24, 2026Hongbin Na, Zimu Wang, Zhaoming Chen +8Emotional Support Psychology
Automated Detection and Classification of Delusion-related Content in Naturalistic Audio Diaries Using Multi-Agent Language Models
May 23, 2026Feng Chen, Justin Tauscher, Changye Li +7Depression Detection Multi-Agent Large Language Model
Hardware-Aware Federated Learning for Speech Emotion Recognition
May 23, 2026Beyazit Bestami Yuksel, Emrah DikbiyikFederated Learning Heterogeneous Edge Devices
Emotional intelligence in large language models is fragmented across perception, cognition, and interaction
May 23, 2026Minghao Lv, Lu Chen, Enchang Zhang +6Empathy Cognitive Science
CUNY at CLPsych 2026: A Pipeline Approach to Classification and Summarization of Mental Health Changes
May 22, 2026Amirmohammad Ziaei Bideh, Shameed Charlomar Job, Ava Yahyapour +1Mental Health Psychology
Emotion Recognition in Sign Language Conversation
May 22, 2026Yusong Wang, Keyu Mao, Takao Obi +2Sign Language Emotion Recognition
Beyond Acoustic Emotion Recognition: Multimodal Pathos Analysis in Political Speech Using LLM-Based and Acoustic Emotion Models
May 21, 2026Juergen DietrichEmotion Recognition Speech Evaluation
Scene Abstraction for Lexical Semantics: Structured Representations of Situated Meaning
May 21, 2026Yejin Cho, Katrin ErkSemantic Representations Scene Representation
Translating Signals to Languages for sEMG-Based Activity Recognition
May 21, 2026Ming Wang, Haoxuan Qu, Qiuhong Ke +3Surface Electromyography Human Activity Recognition
Cross-Subject EEG Emotion Recognition Based on Temporal Asynchronous Alignment Contrastive Learning
May 21, 2026Ying Xie, Yi Zheng, Zehui Xiao +2Emotion Recognition Contrastive Alignment
Interpreting and Enhancing Emotional Circuits in Large Vision-Language Models via Cross-Modal Information Flow
May 21, 2026Chengsheng Zhang, Chenghao Sun, Zhining Xie +1Large Vision Language Models Particular Emotion-Aware Response
Two-Stage Multimodal Framework for Emotion Mimicry Intensity Prediction
May 21, 2026Dinithi Dissanayake, Shaveen Silva, Ovindu Atukorala +2Emotion Recognition Modality-Specific Encoders
Ordering Matters: Rank-Aware Selective Fusion for Blended Emotion Recognition
May 20, 2026Junghyun Lee, Hyunseo Kim, Hanna Jang +1Emotion Recognition Modality-Specific Encoders
Leveraging Self-Paced Curriculum Learning for Enhanced Modality Balance in Multimodal Conversational Emotion Recognition
May 20, 2026Phuong-Anh Nguyen, The-Son Le, Duc-Trong Le +1Emotion Recognition Robust Multimodal Learning
Designing Conversations with the Dead: How People Engage with Generative Ghosts
May 20, 2026Jack Manning, Daniel Sullivan, Dylan Thomas Doyle +2Conversational Quality Generative Artificial Intelligence
DUET: Unified Dual-Space Emotion Control for Diffusion and Flow-Matching Driven Text-to-Speech
May 20, 2026Xu Zhang, Longbing Cao, Zhangkai WuZero-Shot Text-To-Speech Emotion Recognition
Personality Engineering with AI Agents: A New Methodology for Negotiation Research
May 19, 2026Michelle A. Vaccaro, Jared R. CurhanNegotiation Personality
AffectVerse: Emotional World Models for Multimodal Affective Computing
May 19, 2026Bo Zhao, Fanghua Ye, Yixin Ji +3Affective Computing Cross-Modal Learning
AffectAI-Capture: A Reproducible Multimodal Protocol for Small-Group Meeting Research
May 19, 2026Meisam Jamshidi Seikavandi, Alice Modica, Anna Obara +6Affective Computing Sessions
GroupAffect-4: A Multimodal Dataset of Four-Person Collaborative Interaction
May 19, 2026Meisam Jamshidi Seikavandi, Alice Modica, Anna Obara +10Affective Computing Multimodal Dataset
VISAFF: Speaker-Centered Visual Affective Feature Learning for Emotion Recognition in Conversation
May 18, 2026Linan ZHU, Zihao Zhai, Xiao Han +4Emotion Recognition Speaker Verification Performance
EGI: A Multimodal Emotional AI Framework for Enhancing Scrum Master Real-time Self-Awareness
May 17, 2026Jingni Huang, Peter BloodsworthEmotion Recognition Sessions
iMiGUE-3K: A Large-Scale Benchmark for Micro-Gesture Analysis with Self-Supervised Learning
May 16, 2026Chengyan Wang, Haoyu Chen, Hui Wei +3Hand Gesture Recognition Emotion Recognition
Navigating the Emotion Tree: Hierarchical Hyperbolic RAG for Multimodal Emotion Recognition
May 16, 2026Zeheng Wang, Bo Zhao, Yijie Zhu +6Emotion Recognition Multimodal Reasoning
"I'm Not Mad, Just Focused'': Understanding Human Emotions in Human-Robot Collaboration
May 16, 2026Seung Chan Hong, Dana Kulić, Leimin TianHuman-Robot Collaboration Robotic Datasets
EmoMind: Decoding Affective Captions from Human Brain fMRI
May 16, 2026Bilal A. Mohammed, Lin Gu, Ruogu FangEmotion Recognition Affective
Body-Grounded Perspective Formation and Conative Attunement in Artificial Agents
May 16, 2026Hongju PaeArtificial Intelligence Agents Empathy
SLIP & ETHICS: Graduated Intervention for AI Emotional Companions
May 15, 2026Minseo KimArtificial Intelligence Companions Artificial Intelligence Safety
Toward Natural and Companionable Virtual Agents via Cross-Temporal Emotional Modeling
May 15, 2026Feier Qin, Xiao Li, Yi Zheng +5Artificial Intelligence Companions Artificial Intelligence Agents
Attribute-Grounded Selective Reasoning for Artwork Emotion Understanding with Multimodal Large Language Models
May 15, 2026Cheng Zhang, Yuer Liu, Zhiyu Zhou +2Emotion Recognition Emotion
Decision-Level Fusion for Robust Wearable Affect Recognition
May 14, 2026Lokesh Singh, Athina Georgara, Jayati Deshmukh +2Remote Physiological Measurement Affective Computing
MindGap: A Conversational AI Framework for Upstream Neuroplastic Intervention in Post-Traumatic Stress Disorder
May 14, 2026Eranga Bandara, Ross Gore, Asanga Gunaratna +16Psychology Synaptic Plasticity

May 31, 2026 · cs.CLJ/K move · Enter open · S save

Sparse Autoencoders for Interpretable Emotion Control in Text-to-Speech

Hongfei Du, Jiacheng Shi, Sidi Lu, Gang Zhou+1

Department of Computer Science, William & Mary, USA.

Integrating large language models (LLMs) into text-to-speech (TTS) systems has improved speech expressiveness, yet interpretable emotional control remains challenging. Existing approaches primarily rely on external conditioning or global activation steering, offering limited insight into the internal representations underlying emotional control. In this work, we analyze emotion-related variation in the semantic hidden states of LLM-based TTS models using sparse autoencoders (SAEs) to identify sparse latent features. Our analysis shows that emotional variation is distributed across multiple sparse latent features, while intervening on a small subset enables interpretable emotion control. Building on this observation, we introduce a feature-level intervention framework for bidirectional emotion induction and suppression without modifying backbone parameters. We further show that distinct latent features are associated with specific acoustic attributes (e.g., pitch), suggesting that emotional expression arises from coordinated latent contributions rather than a single global shift. Empirically, steering these sparse latent features achieves comparable or superior emotion induction and suppression performance relative to global steering and existing TTS baselines.

Emotion Expressivity

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