Cheol Jun Cho

Orcid: 0000-0003-2596-3164

According to our database1, Cheol Jun Cho authored at least 16 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2025
Towards Accurate Phonetic Error Detection Through Phoneme Similarity Modeling.
CoRR, July, 2025

K-Function: Joint Pronunciation Transcription and Feedback for Evaluating Kids Language Function.
CoRR, July, 2025

Sylber: Syllabic Embedding Representation of Speech from Raw Audio.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Coding Speech Through Vocal Tract Kinematics.
IEEE J. Sel. Top. Signal Process., December, 2024

Analyzing The Language of Visual Tokens.
CoRR, 2024

Time and Tokens: Benchmarking End-to-End Speech Dysfluency Detection.
CoRR, 2024

Articulatory Encodec: Vocal Tract Kinematics as a Codec for Speech.
CoRR, 2024

Stutter-Solver: End-To-End Multi-Lingual Dysfluency Detection.
Proceedings of the IEEE Spoken Language Technology Workshop, 2024

Fast, High-Quality and Parameter-Efficient Articulatory Synthesis Using Differentiable DSP.
Proceedings of the IEEE Spoken Language Technology Workshop, 2024

Self-Supervised Models of Speech Infer Universal Articulatory Kinematics.
Proceedings of the IEEE International Conference on Acoustics, 2024

SD-HuBERT: Sentence-Level Self-Distillation Induces Syllabic Organization in Hubert.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
SD-HuBERT: Self-Distillation Induces Syllabic Organization in HuBERT.
CoRR, 2023

Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data.
Proceedings of the International Conference on Machine Learning, 2023

Speaker-Independent Acoustic-to-Articulatory Speech Inversion.
Proceedings of the IEEE International Conference on Acoustics, 2023

Evidence of Vocal Tract Articulation in Self-Supervised Learning of Speech.
Proceedings of the IEEE International Conference on Acoustics, 2023

Unconstrained Dysfluency Modeling for Dysfluent Speech Transcription and Detection.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023


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