Jaejin Cho

According to our database, Jaejin Cho authored at least 19 papers between 2018 and 2024.

Collaborative distances:

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

2024

NLCG-Net: A Model-Based Zero-Shot Learning Framework for Undersampled Quantitative MRI Reconstruction.

Xinrui Jiang, Yohan Jun, Jaejin Cho, Mengze Gao, Xingwang Yong, Berkin Bilgic

CoRR, 2024

2023

CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss.

Rakshith Sharma Srinivasa, Jaejin Cho, Chouchang Yang, Yashas Malur Saidutta, Ching Hua Lee, Yilin Shen, Hongxia Jin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improved Multi-shot Diffusion-Weighted MRI with Zero-Shot Self-supervised Learning Reconstruction.

Jaejin Cho, Yohan Jun, Xiaoqing Wang, Caique Kobayashi, Berkin Bilgic

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Non-Contrastive Self-Supervised Learning for Utterance-Level Information Extraction From Speech.

Jaejin Cho, Jesús Villalba, Laureano Moro-Velázquez, Najim Dehak

IEEE J. Sel. Top. Signal Process., 2022

Wave-Encoded Model-based Deep Learning for Highly Accelerated Imaging with Joint Reconstruction.

Jaejin Cho, Borjan A. Gagoski, Taehyung Kim, Qiyuan Tian, Stephen Robert Frost, Itthi Chatnuntawech, Berkin Bilgic

CoRR, 2022

Advances in Cross-Lingual and Cross-Source Audio-Visual Speaker Recognition: The JHU-MIT System for NIST SRE21.

Jesús Villalba, Bengt J. Borgstrom, Saurabh Kataria, Magdalena Rybicka, Carlos D. Castillo, Jaejin Cho, L. Paola García-Perera, Pedro A. Torres-Carrasquillo, Najim Dehak

Proceedings of the Odyssey 2022: The Speaker and Language Recognition Workshop, 28 June, 2022

Advances in Speaker Recognition for Multilingual Conversational Telephone Speech: The JHU-MIT System for NIST SRE20 CTS Challenge.

Jesús Villalba, Bengt J. Borgstrom, Saurabh Kataria, Jaejin Cho, Pedro A. Torres-Carrasquillo, Najim Dehak

Proceedings of the Odyssey 2022: The Speaker and Language Recognition Workshop, 28 June, 2022

Non-contrastive self-supervised learning of utterance-level speech representations.

Jaejin Cho, Raghavendra Pappagari, Piotr Zelasko, Laureano Moro-Velázquez, Jesús Villalba, Najim Dehak

Proceedings of the Interspeech 2022, 2022

2021

The JHU submission to VoxSRC-21: Track 3.

Jaejin Cho, Jesús Villalba, Najim Dehak

CoRR, 2021

Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource Scenarios.

Raghavendra Pappagari, Jaejin Cho, Sonal Joshi, Laureano Moro-Velázquez, Piotr Zelasko, Jesús Villalba, Najim Dehak

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Improving Reconstruction Loss Based Speaker Embedding in Unsupervised and Semi-Supervised Scenarios.

Jaejin Cho, Piotr Zelasko, Jesús Villalba, Najim Dehak

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Using State of the Art Speaker Recognition and Natural Language Processing Technologies to Detect Alzheimer's Disease and Assess its Severity.

Raghavendra Pappagari, Jaejin Cho, Laureano Moro-Velázquez, Najim Dehak

Proceedings of the Interspeech 2020, 2020

Learning Speaker Embedding from Text-to-Speech.

Jaejin Cho, Piotr Zelasko, Jesús Villalba, Shinji Watanabe, Najim Dehak

Proceedings of the Interspeech 2020, 2020

2019

Study of the Performance of Automatic Speech Recognition Systems in Speakers with Parkinson's Disease.

Laureano Moro-Velázquez, Jaejin Cho, Shinji Watanabe, Mark A. Hasegawa-Johnson, Odette Scharenborg, Heejin Kim, Najim Dehak

Proceedings of the Interspeech 2019, 2019

Transfer Learning of Language-independent End-to-end ASR with Language Model Fusion.

Hirofumi Inaguma, Jaejin Cho, Murali Karthick Baskar, Tatsuya Kawahara, Shinji Watanabe

Proceedings of the IEEE International Conference on Acoustics, 2019

Language Model Integration Based on Memory Control for Sequence to Sequence Speech Recognition.

Jaejin Cho, Shinji Watanabe, Takaaki Hori, Murali Karthick Baskar, Hirofumi Inaguma, Jesús Villalba, Najim Dehak

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

End-to-end Speech Recognition With Word-Based Rnn Language Models.

Takaaki Hori, Jaejin Cho, Shinji Watanabe

Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Multilingual Sequence-to-Sequence Speech Recognition: Architecture, Transfer Learning, and Language Modeling.

Jaejin Cho, Murali Karthick Baskar, Ruizhi Li, Matthew Wiesner, Sri Harish Mallidi, Nelson Yalta, Martin Karafiát, Shinji Watanabe, Takaaki Hori

Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Deep Neural Networks for Emotion Recognition Combining Audio and Transcripts.

Jaejin Cho, Raghavendra Pappagari, Purva Kulkarni, Jesús Villalba, Yishay Carmiel, Najim Dehak

Proceedings of the Interspeech 2018, 2018