Papers
EmoJudge: LLM Based Post-Hoc Refinement for Multimodal Speech Emotion Recognition
Prabhav Singh, Jesus Villalba
Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model
Lucas Ueda, João Lima, Leonardo Marques et al.
Advancing Emotion Recognition via Ensemble Learning: Integrating Speech, Context, and Text Representations
Xiaohan Shi, Jinyi Mi, Xingfeng Li et al.
Medusa: A Multimodal Deep Fusion Multi-Stage Training Framework for Speech Emotion Recognition in Naturalistic Conditions
Georgios Chatzichristodoulou, Despoina Kosmopoulou, Antonios Kritikos et al.
Multi-task learning for speech emotion recognition in naturalistic conditions
Bartłomiej Zgórzyński, Juliusz Wójtowicz-Kruk, Piotr Masztalski et al.
MATER: Multi-level Acoustic and Textual Emotion Representation for Interpretable Speech Emotion Recognition
Hyo Jin Jon, Longbin Jin, Hyuntaek Jung et al.
The Interspeech 2025 Challenge on Speech Emotion Recognition in Naturalistic Conditions
Abinay Reddy Naini, Lucas Goncalves, Ali N. Salman et al.
ABHINAYA - A System for Speech Emotion Recognition In Naturalistic Conditions Challenge
Soumya Dutta, Smruthi Balaji, Varada R et al.
Explainable Speech Emotion Recognition Through Attentive Pooling: Insights from Attention-Based Temporal Localization
Tahitoa Leygue, Astrid Sabourin, Christian Bolzmacher et al.
EmoSphere-SER: Enhancing Speech Emotion Recognition Through Spherical Representation with Auxiliary Classification
Deok-Hyeon Cho, Hyung-Seok Oh, Seung-Bin Kim et al.
Developing a High-performance Framework for Speech Emotion Recognition in Naturalistic Conditions Challenge for Emotional Attribute Prediction
Thanathai Lertpetchpun, Tiantian Feng, Dani Byrd et al.
Developing a Top-tier Framework in Naturalistic Conditions Challenge for Categorized Emotion Prediction: From Speech Foundation Models and Learning Objective to Data Augmentation and Engineering Choices
Tiantian Feng, Thanathai Lertpetchpun, Dani Byrd et al.
From Pretraining to Performance: Benchmarking Self-Supervised Speech Models for Interspeech-25 SER Challenge
Drishya Uniyal, Vinayak Abrol
Towards LLM-Empowered Fine-Grained Speech Descriptors for Explainable Emotion Recognition
Youjun Chen, Xurong Xie, Haoning Xu et al.
Voice Quality Dimensions as Interpretable Primitives for Speaking Style for Atypical Speech and Affect
Jaya Narain, Vasudha Kowtha, Colin Lea et al.
A Cookbook for Community-driven Data Collection of Impaired Speech in Low-Resource Languages
Sumaya Ahmed Salihs, Isaac Wiafe, Jamal-Deen Abdulai et al.
VocalAgent: Large Language Models for Vocal Health Diagnostics with Safety-Aware Evaluation
Yubin Kim, Taehan Kim, Wonjune Kang et al.
Lightweight Speech Enhancement for Mandarin Esophageal Speech
Jia-Jyu Su, Yen-Ting Lin, Wu-Hao Li et al.
On-the-fly Routing for Zero-shot MoE Speaker Adaptation of Speech Foundation Models for Dysarthric Speech Recognition
Shujie Hu, Xurong Xie, Mengzhe Geng et al.
Evaluating the Effectiveness of Pre-Trained Audio Embeddings for Classification of Parkinson's Disease Speech Data
Emmy Postma, Cristian Tejedor-Garcia
FasterVoiceGrad: Faster One-step Diffusion-Based Voice Conversion with Adversarial Diffusion Conversion Distillation
Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka et al.
StarVC: A Unified Auto-Regressive Framework for Joint Text and Speech Generation in Voice Conversion
Fengjin Li, Jie Wang, Yadong Niu et al.
PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts
Tianhua Qi, Shiyan Wang, Cheng Lu et al.
ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech
Yu Pan, Yanni Hu, Yuguang Yang et al.