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C. Cho

12 papers hereh-index 565 citations15 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author10

Across the 10 of 12 papers where every author was matched, so the position is known.

fields
  • eess.AS9
  • cs.CL2
  • cs.CV1
same name
  • C. Cho — 16 papers, h 16
  • C. Cho — 4 papers, h 2
  • C. Cho — 2 papers, h 33
  • C. Cho — 2 papers, h 3
  • C. Cho — 2 papers, h 17
  • C. Cho — 1 paper, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators
Showing 2026 · eess.ASShow all

4 papers · 2 filters

eess.AS2026

HASS: Hierarchical Simulation of Logopenic Aphasic Speech for Scalable PPA Detection

Harrison Li, Kevin Wang, Cheol Jun Cho +13

Building a diagnosis model for primary progressive aphasia (PPA) has been challenging due to the data scarcity. Collecting clinical data at scale is limited by the high vulnerabili…

eess.AS2026

Self-Supervised Speech Models Encode Phonetic Context via Position-dependent Orthogonal Subspaces

Kwanghee Choi, Eunjung Yeo, Cheol Jun Cho +2

Transformer-based self-supervised speech models (S3Ms) are often described as contextualized, yet what this entails remains unclear. Here, we focus on how a single frame-level S3M…

eess.AS2026

HuPER: A Human-Inspired Framework for Phonetic Perception

Chenxu Guo, Jiachen Lian, Yisi Liu +9

We propose HuPER, a human-inspired framework that models phonetic perception as adaptive inference over acoustic-phonetics evidence and linguistic knowledge. With only 100 hours of…

eess.AS2026

[b] = [d] - [t] + [p]: Self-supervised Speech Models Discover Phonological Vector Arithmetic

Kwanghee Choi, Eunjung Yeo, Cheol Jun Cho +2

Self-supervised speech models (S3Ms) are known to encode rich phonetic information, yet how this information is structured remains underexplored. We conduct a comprehensive study a…

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