activity
20222025
most citedCoding Speech through Vocal Tract Kinematics

10 citations · 11 across the 4 of their papers we have counts for

collaborators

5 papers

eess.AS2025

Towards Accurate Phonetic Error Detection Through Phoneme Similarity Modeling

Xuanru Zhou, Jiachen Lian, Cheol Jun Cho +12

Phonetic error detection, a core subtask of automatic pronunciation assessment, identifies pronunciation deviations at the phoneme level. Speech variability from accents and dysflu…

cs.CV2024

Multimodal Segmentation for Vocal Tract Modeling

Rishi Jain, Bohan Yu, Peter Wu +2

Accurate modeling of the vocal tract is necessary to construct articulatory representations for interpretable speech processing and linguistics. However, vocal tract modeling is ch…

eess.AS2024★ 10 cited

Coding Speech through Vocal Tract Kinematics

Cheol Jun Cho, Peter Wu, Tejas S. Prabhune +2

Vocal tract articulation is a natural, grounded control space of speech production. The spatiotemporal coordination of articulators combined with the vocal source shapes intelligib…

cs.SD2023

Towards Streaming Speech-to-Avatar Synthesis

Tejas S. Prabhune, Peter Wu, Bohan Yu +1

Streaming speech-to-avatar synthesis creates real-time animations for a virtual character from audio data. Accurate avatar representations of speech are important for the visualiza…

eess.IV2022★ 1 cited

Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models

Minhaj Nur Alam, Rikiya Yamashita, Vignav Ramesh +6

Self supervised contrastive learning based pretraining allows development of robust and generalized deep learning models with small, labeled datasets, reducing the burden of label…