{"total":55,"rows":[{"id":"2203.07378","title":"Dawn of the transformer era in speech emotion recognition: closing the valence gap","created":"2022-03-14","cited_by_count":157,"area":null},{"id":"2111.13424","title":"ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics","created":"2021-11-26","cited_by_count":36,"area":null},{"id":"2305.13500","title":"Learning Emotion Representations from Verbal and Nonverbal Communication","created":"2023-05-22","cited_by_count":31,"area":null},{"id":"2401.05698","title":"HiCMAE: Hierarchical Contrastive Masked Autoencoder for Self-Supervised Audio-Visual Emotion Recognition","created":"2024-01-11","cited_by_count":30,"area":null},{"id":"2112.14005","title":"Towards Relatable Explainable AI with the Perceptual Process","created":"2021-12-28","cited_by_count":27,"area":null},{"id":"2110.15684","title":"Fusing ASR Outputs in Joint Training for Speech Emotion Recognition","created":"2021-10-29","cited_by_count":21,"area":null},{"id":"2201.06309","title":"Group Gated Fusion on Attention-based Bidirectional Alignment for Multimodal Emotion Recognition","created":"2022-01-17","cited_by_count":16,"area":null},{"id":"2202.09263","title":"Is Cross-Attention Preferable to Self-Attention for Multi-Modal Emotion Recognition?","created":"2022-02-18","cited_by_count":16,"area":null},{"id":"2406.08353","title":"Speech Emotion Recognition with ASR Transcripts: A Comprehensive Study on Word Error Rate and Fusion Techniques","created":"2024-06-12","cited_by_count":15,"area":null},{"id":"2106.04133","title":"Efficient Speech Emotion Recognition Using Multi-Scale CNN and Attention","created":"2021-06-08","cited_by_count":14,"area":null},{"id":"2202.01252","title":"Speaker Normalization for Self-supervised Speech Emotion Recognition","created":"2022-02-02","cited_by_count":14,"area":null},{"id":"2201.10113","title":"Multimodal data matters: language model pre-training over structured and unstructured electronic health records","created":"2022-01-25","cited_by_count":13,"area":null},{"id":"2108.02510","title":"Improved Speech Emotion Recognition using Transfer Learning and Spectrogram Augmentation","created":"2021-08-05","cited_by_count":12,"area":null},{"id":"2309.06745","title":"VEATIC: Video-based Emotion and Affect Tracking in Context Dataset","created":"2023-09-13","cited_by_count":12,"area":null},{"id":"2304.06910","title":"HCAM -- Hierarchical Cross Attention Model for Multi-modal Emotion Recognition","created":"2023-04-14","cited_by_count":11,"area":null},{"id":"2205.08383","title":"Bias and Fairness on Multimodal Emotion Detection Algorithms","created":"2022-05-11","cited_by_count":10,"area":null},{"id":"2109.00181","title":"CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations","created":"2021-09-01","cited_by_count":9,"area":null},{"id":"2401.04210","title":"FunnyNet-W: Multimodal Learning of Funny Moments in Videos in the Wild","created":"2024-01-08","cited_by_count":9,"area":null},{"id":"2110.06650","title":"Multistage linguistic conditioning of convolutional layers for speech emotion recognition","created":"2021-10-13","cited_by_count":8,"area":null},{"id":"2201.11826","title":"Sentiment-Aware Automatic Speech Recognition pre-training for enhanced Speech Emotion Recognition","created":"2022-01-27","cited_by_count":8,"area":null},{"id":"2202.08974","title":"Multimodal Emotion Recognition using Transfer Learning from Speaker Recognition and BERT-based models","created":"2022-02-16","cited_by_count":7,"area":null},{"id":"2305.16065","title":"ASR and Emotional Speech: A Word-Level Investigation of the Mutual Impact of Speech and Emotion Recognition","created":"2023-05-25","cited_by_count":7,"area":null},{"id":"2103.06057","title":"Team Phoenix at WASSA 2021: Emotion Analysis on News Stories with Pre-Trained Language Models","created":"2021-03-10","cited_by_count":5,"area":null},{"id":"2210.17311","title":"Shared Manifold Learning Using a Triplet Network for Multiple Sensor Translation and Fusion with Missing Data","created":"2022-10-25","cited_by_count":5,"area":null},{"id":"2307.11584","title":"A Change of Heart: Improving Speech Emotion Recognition through Speech-to-Text Modality Conversion","created":"2023-07-21","cited_by_count":5,"area":null},{"id":"2407.18552","title":"Multimodal Emotion Recognition using Audio-Video Transformer Fusion with Cross Attention","created":"2024-07-26","cited_by_count":5,"area":null},{"id":"2204.04645","title":"Self-Supervised Audio-and-Text Pre-training with Extremely Low-Resource Parallel Data","created":"2022-04-10","cited_by_count":4,"area":null},{"id":"2311.07093","title":"A Comprehensive Study on the Effectiveness of ASR Representations for Noise-Robust Speech Emotion Recognition","created":"2023-11-13","cited_by_count":4,"area":null},{"id":"2210.14716","title":"Pretrained audio neural networks for Speech emotion recognition in Portuguese","created":"2022-10-26","cited_by_count":3,"area":null},{"id":"2305.12712","title":"LEAN: Light and Efficient Audio Classification Network","created":"2023-05-22","cited_by_count":3,"area":null},{"id":"2307.15097","title":"Cascaded Cross-Modal Transformer for Request and Complaint Detection","created":"2023-07-27","cited_by_count":3,"area":null},{"id":"2309.02106","title":"Leveraging Label Information for Multimodal Emotion Recognition","created":"2023-09-05","cited_by_count":3,"area":null},{"id":"2407.09029","title":"Enhancing Emotion Recognition in Incomplete Data: A Novel Cross-Modal Alignment, Reconstruction, and Refinement Framework","created":"2024-07-12","cited_by_count":3,"area":null},{"id":"2105.01129","title":"Towards A Multi-agent System for Online Hate Speech Detection","created":"2021-05-03","cited_by_count":2,"area":null},{"id":"2203.17023","title":"CTA-RNN: Channel and Temporal-wise Attention RNN Leveraging Pre-trained ASR Embeddings for Speech Emotion Recognition","created":"2022-03-31","cited_by_count":2,"area":null},{"id":"2208.11450","title":"VISTANet: VIsual Spoken Textual Additive Net for Interpretable Multimodal Emotion Recognition","created":"2022-08-24","cited_by_count":2,"area":null},{"id":"2211.04834","title":"Distribution-based Emotion Recognition in Conversation","created":"2022-11-09","cited_by_count":2,"area":null},{"id":"2211.07711","title":"Multilevel Transformer For Multimodal Emotion Recognition","created":"2022-10-26","cited_by_count":2,"area":null},{"id":"2401.07575","title":"Cascaded Cross-Modal Transformer for Audio-Textual Classification","created":"2024-01-15","cited_by_count":2,"area":null},{"id":"2306.13804","title":"Cross-Language Speech Emotion Recognition Using Multimodal Dual Attention Transformers","created":"2023-06-23","cited_by_count":1,"area":null},{"id":"2310.04481","title":"Acoustic and linguistic representations for speech continuous emotion recognition in call center conversations","created":"2023-10-06","cited_by_count":1,"area":null},{"id":"2312.17262","title":"Multimodal Classification of Teaching Activities from University Lecture Recordings","created":"2023-12-24","cited_by_count":1,"area":null},{"id":"2405.02887","title":"Sentiment Analysis Across Languages: Evaluation Before and After Machine Translation to English","created":"2024-05-05","cited_by_count":1,"area":null},{"id":"2508.06564","title":"Grounding Emotion Recognition with Visual Prototypes: VEGA -- Revisiting CLIP in MERC","created":"2025-08-06","cited_by_count":1,"area":null},{"id":"2108.05098","title":"Position-based Contributive Embeddings for Aspect-Based Sentiment Analysis","created":"2021-08-11","cited_by_count":0,"area":null},{"id":"2403.05000","title":"Medical Speech Symptoms Classification via Disentangled Representation","created":"2024-03-08","cited_by_count":0,"area":null},{"id":"2403.18635","title":"Fusion approaches for emotion recognition from speech using acoustic and text-based features","created":"2024-03-27","cited_by_count":0,"area":null},{"id":"2410.12416","title":"Enhancing Speech Emotion Recognition through Segmental Average Pooling of Self-Supervised Learning Features","created":"2024-10-16","cited_by_count":0,"area":null},{"id":"2502.19387","title":"Residual Speech Embeddings for Tone Classification: Removing Linguistic Content to Enhance Paralinguistic Analysis","created":"2025-02-26","cited_by_count":0,"area":null},{"id":"2510.03060","title":"Semantic Differentiation in Speech Emotion Recognition: Insights from Descriptive and Expressive Speech Roles","created":"2025-10-03","cited_by_count":0,"area":null},{"id":"2511.11000","title":"DialogGraph-LLM: Graph-Informed LLMs for End-to-End Audio Dialogue Intent Recognition","created":"2025-11-14","cited_by_count":0,"area":null},{"id":"2604.19477","title":"Deep Supervised Contrastive Learning of Pitch Contours for Robust Pitch Accent Classification in Seoul Korean","created":"2026-04-21","cited_by_count":0,"area":null},{"id":"2607.06611","title":"Audio Sentiment Analysis via Distillation and Cross-Modal Integration of Generated Multilingual Transcripts","created":"2026-07-07","cited_by_count":0,"area":null},{"id":"2609.05871","title":"Where Does the Sound Go? Tracing Acoustic Information Loss in Audio-Conditioned LLMs","created":"2026-09-05","cited_by_count":0,"area":null},{"id":"2609.39453","title":"From Speech to Editable Concepts: Probing Emotion Recognition with Concept Bottleneck Models","created":"2026-09-30","cited_by_count":0,"area":null}],"next_cursor":null}