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cs.SD2026
From Speech to Editable Concepts: Probing Emotion Recognition with Concept Bottleneck Models
Hezhao Zhang, Thomas Hain
Speech emotion recognition (SER) is the task of assigning emotion labels to utterances. Early systems relied on acoustic features, whereas recent approaches combine multiple modali…
cs.SD2026
CS-YODAS: A Mined Dataset of In-the-Wild Code-Switched Speech
Brian Yan, Qingzheng Wang, Matthew Wiesner +9
We present CS-YODAS, a Creative Commons-licensed dataset of in-the-wild code-switched speech mined from multilingual YouTube data. Code-switching (CS), or the alternation between l…
cs.SD2026
VoxEmo: Benchmarking Speech Emotion Recognition with Speech LLMs
Hezhao Zhang, Huang-Cheng Chou, Shrikanth Narayanan +1
Speech Large Language Models (LLMs) show great promise for speech emotion recognition (SER) via generative interfaces. However, shifting from closed-set classification to open text…