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Journal Articles
- 2022
[j1]Jaejin Cho
, Jesús Villalba, Laureano Moro-Velázquez, Najim Dehak:
Non-Contrastive Self-Supervised Learning for Utterance-Level Information Extraction From Speech. IEEE J. Sel. Top. Signal Process. 16(6): 1284-1295 (2022)
Conference and Workshop Papers
- 2024
- [c18]Suhas BN, Rakshith Sharma Srinivasa, Yashas Malur Saidutta, Jaejin Cho, Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin:
End-To-End Personalized Cuff-Less Blood Pressure Monitoring Using ECG and PPG Signals. ICASSP 2024: 2101-2105 - [c17]Jaejin Cho, Rakshith Sharma Srinivasa, Ching Hua Lee, Yashas Malur Saidutta, Chouchang Yang, Yilin Shen, Hongxia Jin:
Zero-Shot Intent Classification Using a Semantic Similarity Aware Contrastive Loss and Large Language Model. ICASSP 2024: 10776-10780 - [c16]Ching Hua Lee, Chouchang Yang, Rakshith Sharma Srinivasa, Yashas Malur Saidutta, Jaejin Cho, Yilin Shen, Hongxia Jin:
Leveraging Self-Supervised Speech Representations for Domain Adaptation in Speech Enhancement. ICASSP 2024: 10831-10835 - 2023
- [c15]Jaejin Cho, Yohan Jun, Xiaoqing Wang, Caique Kobayashi, Berkin Bilgic:
Improved Multi-shot Diffusion-Weighted MRI with Zero-Shot Self-supervised Learning Reconstruction. MICCAI (1) 2023: 457-466 - [c14]Rakshith Sharma Srinivasa, Jaejin Cho, Chouchang Yang, Yashas Malur Saidutta, Ching Hua Lee, Yilin Shen, Hongxia Jin:
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss. NeurIPS 2023 - 2022
- [c13]Jaejin Cho, Raghavendra Pappagari, Piotr Zelasko, Laureano Moro-Velázquez, Jesús Villalba, Najim Dehak:
Non-contrastive self-supervised learning of utterance-level speech representations. INTERSPEECH 2022: 4028-4032 - [c12]Jesús Villalba, Bengt J. Borgstrom, Saurabh Kataria, Magdalena Rybicka, Carlos D. Castillo, Jaejin Cho, L. Paola García-Perera, Pedro A. Torres-Carrasquillo, Najim Dehak:
Advances in Cross-Lingual and Cross-Source Audio-Visual Speaker Recognition: The JHU-MIT System for NIST SRE21. Odyssey 2022: 213-220 - [c11]Jesús Villalba, Bengt J. Borgstrom, Saurabh Kataria, Jaejin Cho, Pedro A. Torres-Carrasquillo, Najim Dehak:
Advances in Speaker Recognition for Multilingual Conversational Telephone Speech: The JHU-MIT System for NIST SRE20 CTS Challenge. Odyssey 2022: 338-345 - 2021
- [c10]Jaejin Cho, Piotr Zelasko, Jesús Villalba, Najim Dehak:
Improving Reconstruction Loss Based Speaker Embedding in Unsupervised and Semi-Supervised Scenarios. ICASSP 2021: 6733-6737 - [c9]Raghavendra Pappagari, Jaejin Cho, Sonal Joshi, Laureano Moro-Velázquez, Piotr Zelasko, Jesús Villalba, Najim Dehak:
Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource Scenarios. Interspeech 2021: 3825-3829 - 2020
- [c8]Raghavendra Pappagari, Jaejin Cho, Laureano Moro-Velázquez, Najim Dehak:
Using State of the Art Speaker Recognition and Natural Language Processing Technologies to Detect Alzheimer's Disease and Assess its Severity. INTERSPEECH 2020: 2177-2181 - [c7]Jaejin Cho, Piotr Zelasko, Jesús Villalba, Shinji Watanabe, Najim Dehak:
Learning Speaker Embedding from Text-to-Speech. INTERSPEECH 2020: 3256-3260 - 2019
- [c6]Hirofumi Inaguma, Jaejin Cho, Murali Karthick Baskar, Tatsuya Kawahara, Shinji Watanabe:
Transfer Learning of Language-independent End-to-end ASR with Language Model Fusion. ICASSP 2019: 6096-6100 - [c5]Jaejin Cho, Shinji Watanabe, Takaaki Hori, Murali Karthick Baskar, Hirofumi Inaguma, Jesús Villalba, Najim Dehak:
Language Model Integration Based on Memory Control for Sequence to Sequence Speech Recognition. ICASSP 2019: 6191-6195 - [c4]Laureano Moro-Velázquez, Jaejin Cho, Shinji Watanabe, Mark A. Hasegawa-Johnson, Odette Scharenborg, Heejin Kim, Najim Dehak:
Study of the Performance of Automatic Speech Recognition Systems in Speakers with Parkinson's Disease. INTERSPEECH 2019: 3875-3879 - 2018
- [c3]Jaejin Cho, Raghavendra Pappagari, Purva Kulkarni, Jesús Villalba, Yishay Carmiel, Najim Dehak:
Deep Neural Networks for Emotion Recognition Combining Audio and Transcripts. INTERSPEECH 2018: 247-251 - [c2]Takaaki Hori, Jaejin Cho, Shinji Watanabe:
End-to-end Speech Recognition With Word-Based Rnn Language Models. SLT 2018: 389-396 - [c1]Jaejin Cho, Murali Karthick Baskar, Ruizhi Li, Matthew Wiesner, Sri Harish Mallidi, Nelson Yalta, Martin Karafiát, Shinji Watanabe, Takaaki Hori:
Multilingual Sequence-to-Sequence Speech Recognition: Architecture, Transfer Learning, and Language Modeling. SLT 2018: 521-527
Informal and Other Publications
- 2024
- [i12]Xinrui Jiang, Yohan Jun, Jaejin Cho, Mengze Gao, Xingwang Yong, Berkin Bilgic:
NLCG-Net: A Model-Based Zero-Shot Learning Framework for Undersampled Quantitative MRI Reconstruction. CoRR abs/2401.12004 (2024) - 2023
- [i11]Jaejin Cho, Yohan Jun, Xiaoqing Wang, Caique Kobayashi, Berkin Bilgic:
Improved Multi-Shot Diffusion-Weighted MRI with Zero-Shot Self-Supervised Learning Reconstruction. CoRR abs/2308.05103 (2023) - [i10]Rakshith Sharma Srinivasa, Jaejin Cho, Chouchang Yang, Yashas Malur Saidutta, Ching Hua Lee, Yilin Shen, Hongxia Jin:
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss. CoRR abs/2309.14580 (2023) - 2022
- [i9]Jaejin Cho, Borjan A. Gagoski, Taehyung Kim, Qiyuan Tian, Stephen Robert Frost, Itthi Chatnuntawech, Berkin Bilgic:
Wave-Encoded Model-based Deep Learning for Highly Accelerated Imaging with Joint Reconstruction. CoRR abs/2202.02814 (2022) - [i8]Jaejin Cho, Raghavendra Pappagari, Piotr Zelasko, Laureano Moro-Velázquez, Jesús Villalba, Najim Dehak:
Non-Contrastive Self-Supervised Learning of Utterance-Level Speech Representations. CoRR abs/2208.05413 (2022) - [i7]Jaejin Cho, Jesús Villalba, Laureano Moro-Velázquez, Najim Dehak:
Non-Contrastive Self-supervised Learning for Utterance-Level Information Extraction from Speech. CoRR abs/2208.05445 (2022) - 2021
- [i6]Jaejin Cho, Jesús Villalba, Najim Dehak:
The JHU submission to VoxSRC-21: Track 3. CoRR abs/2109.13425 (2021) - 2020
- [i5]Jaejin Cho, Piotr Zelasko, Jesús Villalba, Shinji Watanabe, Najim Dehak:
Learning Speaker Embedding from Text-to-Speech. CoRR abs/2010.11221 (2020) - 2018
- [i4]Takaaki Hori, Jaejin Cho, Shinji Watanabe:
End-to-end Speech Recognition with Word-based RNN Language Models. CoRR abs/1808.02608 (2018) - [i3]Jaejin Cho, Murali Karthick Baskar, Ruizhi Li, Matthew Wiesner, Sri Harish Reddy Mallidi, Nelson Yalta, Martin Karafiát, Shinji Watanabe, Takaaki Hori:
Multilingual sequence-to-sequence speech recognition: architecture, transfer learning, and language modeling. CoRR abs/1810.03459 (2018) - [i2]Hirofumi Inaguma, Jaejin Cho, Murali Karthick Baskar, Tatsuya Kawahara, Shinji Watanabe:
Transfer learning of language-independent end-to-end ASR with language model fusion. CoRR abs/1811.02134 (2018) - [i1]Jaejin Cho, Shinji Watanabe, Takaaki Hori, Murali Karthick Baskar, Hirofumi Inaguma, Jesús Villalba, Najim Dehak:
Language model integration based on memory control for sequence to sequence speech recognition. CoRR abs/1811.02162 (2018)
Coauthor Index
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