Cheol Jun Cho

According to our database, Cheol Jun Cho authored at least 12 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Sylber: Syllabic Embedding Representation of Speech from Raw Audio.

Cheol Jun Cho, Nicholas Lee, Akshat Gupta, Dhruv Agarwal, Ethan Chen, Alan W. Black, Gopala Krishna Anumanchipalli

CoRR, 2024

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

Xuanru Zhou, Jiachen Lian, Cheol Jun Cho, Jingwen Liu, Zongli Ye, Jinming Zhang, Brittany Morin, David Baquirin, Jet Vonk, Zoe Ezzes, Zachary Miller, Maria Luisa Gorno-Tempini, Gopala Anumanchipalli

CoRR, 2024

Stutter-Solver: End-to-end Multi-lingual Dysfluency Detection.

Xuanru Zhou, Cheol Jun Cho, Ayati Sharma, Brittany Morin, David Baquirin, Jet Vonk, Zoe Ezzes, Zachary Miller, Boon Lead Tee, Maria Luisa Gorno-Tempini, Jiachen Lian, Gopala Anumanchipalli

CoRR, 2024

Fast, High-Quality and Parameter-Efficient Articulatory Synthesis using Differentiable DSP.

Yisi Liu, Bohan Yu, Drake Lin, Peter Wu, Cheol Jun Cho, Gopala Krishna Anumanchipalli

CoRR, 2024

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

Cheol Jun Cho, Peter Wu, Tejas S. Prabhune, Dhruv Agarwal, Gopala Krishna Anumanchipalli

CoRR, 2024

Self-Supervised Models of Speech Infer Universal Articulatory Kinematics.

Cheol Jun Cho, Abdelrahman Mohamed, Alan W. Black, Gopala Krishna Anumanchipalli

Proceedings of the IEEE International Conference on Acoustics, 2024

SD-HuBERT: Sentence-Level Self-Distillation Induces Syllabic Organization in Hubert.

Cheol Jun Cho, Abdelrahman Mohamed, Shang-Wen Li, Alan W. Black, Gopala Krishna Anumanchipalli

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

SD-HuBERT: Self-Distillation Induces Syllabic Organization in HuBERT.

Cheol Jun Cho, Abdelrahman Mohamed, Shang-Wen Li, Alan W. Black, Gopala Krishna Anumanchipalli

CoRR, 2023

Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data.

Cheol Jun Cho, Edward F. Chang, Gopala Krishna Anumanchipalli

Proceedings of the International Conference on Machine Learning, 2023

Speaker-Independent Acoustic-to-Articulatory Speech Inversion.

Peter Wu, Li-Wei Chen, Cheol Jun Cho, Shinji Watanabe, Louis Goldstein, Alan W. Black, Gopala Krishna Anumanchipalli

Proceedings of the IEEE International Conference on Acoustics, 2023

Evidence of Vocal Tract Articulation in Self-Supervised Learning of Speech.

Cheol Jun Cho, Peter Wu, Abdelrahman Mohamed, Gopala Krishna Anumanchipalli

Proceedings of the IEEE International Conference on Acoustics, 2023

Unconstrained Dysfluency Modeling for Dysfluent Speech Transcription and Detection.

Jiachen Lian, Carly Feng, Naasir Farooqi, Steve Li, Anshul Kashyap, Cheol Jun Cho, Peter Wu, Robbie Netzorg, Tingle Li, Gopala Krishna Anumanchipalli

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023