Enriching Speech Emotion Representations with Conversational Context

arXiv:2609.26422 · cs.CL, eess.AS · Submitted 2026-09-22 · Read on arXiv

cs.CL, eess.AS

Submitted: 2026-09-22

Updated: 2026-09-22

Comments: 5 pages, 1 figure, 2 tables. Submitted to ICASSP 2027

Code: https://github.com/apeuvot/ACERT

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Ablation — 11× in this paper · explained in 1 episode
• Ablation Studies — 7× in this paper · explained in 1 episode
• Speech Emotion Recognition — 7× in this paper
• Fine-Tuning — 5× in this paper · explained in 5 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Actor — 3× in this paper · explained in 3 episodes
• Affective Computing — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Unweighted Accuracy — 3× in this paper
• Adaptability — 2× in this paper · explained in 1 episode
• Distillation — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Self-Supervised Learning — 2× in this paper · explained in 7 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Adaptive Response — 1× in this paper · explained in 1 episode
• F1 Score — 1× in this paper · explained in 3 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Self-Supervised Learning (SSL) — 1× in this paper · explained in 4 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes
• Weighted Accuracy — 1× in this paper

Sources

• Building Machines That Learn and Think Like People
• ExHuBERT: Enhancing HuBERT Through Block Extension and Fine-Tuning on 37 Emotion Datasets
• Multi-Scale Temporal Transformer For Speech Emotion Recognition
• Att-HACK: An Expressive Speech Database with Social Attitudes

Related papers

• Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
• Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
• Subliminal Steering: Stronger Encoding of Hidden Signals
• MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
• The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
• Untangling the Mechanisms of Misleading Context in Medical Question Answering