From Speech to Editable Concepts: Probing Emotion Recognition with Concept Bottleneck Models

arXiv:2609.39453 · cs.SD, cs.AI, cs.CL, eess.AS · Submitted 2026-09-30 · Read on arXiv

cs.SD, cs.AI, cs.CL, eess.AS

Submitted: 2026-09-30

Updated: 2026-09-30

Terminology

• Fine-Tuning — 8× in this paper · explained in 5 episodes
• Actor — 2× in this paper · explained in 3 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Affective Computing — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Explainability — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Multimodal Fusion — 1× in this paper · explained in 3 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes

Sources

• VoxEmo: Benchmarking Speech Emotion Recognition with Speech LLMs
• Qwen3-ASR Technical Report
• Vox-Profile: A Speech Foundation Model Benchmark for Characterizing Diverse Speaker and Speech Traits
• Qwen2.5 Technical Report
• Qwen2.5-Omni Technical Report
• The Llama 3 Herd of Models

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