Papers by Kristina T. Johnson

2 papers
N-CORE: N-View Consistency Regularization for Disentangled Representation Learning in Nonverbal Vocalizations (2025.emnlp-main)

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Challenge: Nonverbal vocalizations are an essential component of human communication, conveying rich information without linguistic content.
Approach: They propose a backbone-agnostic framework to disentangle emotion and speaker information from nonverbal vocalizations by leveraging N views of audio samples to learn invariance to specific transformations.
Outcome: The proposed framework achieves competitive performance compared to state-of-the-art methods on the VIVAE, ReCANVo, and ReCANVO-Balanced datasets.
ROSCO-Omni: Multimodal LLM-Based Communication Understanding for Non- and Minimally-Speaking Autistic Individuals (2026.findings-acl)

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Challenge: 30% of autistic individuals remain non- or minimally-speaking throughout their lives . however, caregivers rely on simultaneous integration of visual cues, auditory signals, and contextual understanding to infer intent.
Approach: They propose a framework that fine tunes a teacher-student MLLM for domain-specialized inference.
Outcome: The proposed framework achieves comparable performance to closed-source models .

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