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Jaejin (JJ) Cho
Jaejin (JJ) Cho
Samsung Research America, Johns Hopkins University (Previous)
E-mailová adresa ověřena na: samsung.com - Domovská stránka
Název
Citace
Citace
Rok
Multilingual sequence-to-sequence speech recognition: architecture, transfer learning, and language modeling
J Cho, MK Baskar, R Li, M Wiesner, SH Mallidi, N Yalta, M Karafiat, ...
2018 IEEE Spoken Language Technology Workshop (SLT), 521-527, 2018
1562018
End-to-end speech recognition with word-based RNN language models
T Hori, J Cho, S Watanabe
2018 IEEE Spoken Language Technology Workshop (SLT), 389-396, 2018
1492018
Deep neural networks for emotion recognition combining audio and transcripts
J Cho, R Pappagari, P Kulkarni, J Villalba, Y Carmiel, N Dehak
arXiv preprint arXiv:1911.00432, 2019
1312019
Using State of the Art Speaker Recognition and Natural Language Processing Technologies to Detect Alzheimer's Disease and Assess its Severity.
R Pappagari, J Cho, L Moro-Velazquez, N Dehak
INTERSPEECH, 2177-2181, 2020
882020
Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource Scenarios.
R Pappagari, J Cho, S Joshi, L Moro-Velázquez, P Zelasko, J Villalba, ...
Interspeech 2021, 3825-3829, 2021
652021
Transfer learning of language-independent end-to-end ASR with language model fusion
H Inaguma, J Cho, MK Baskar, T Kawahara, S Watanabe
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
532019
Study of the Performance of Automatic Speech Recognition Systems in Speakers with Parkinson's Disease.
L Moro-Velazquez, JJ Cho, S Watanabe, MA Hasegawa-Johnson, ...
Interspeech 9, 3875-3879, 2019
432019
The JHU submission to VoxSRC-21: Track 3
J Cho, J Villalba, N Dehak
arXiv preprint arXiv:2109.13425, 2021
252021
Non-Contrastive Self-supervised Learning for Utterance-Level Information Extraction from Speech
J Cho, J Villalba, L Moro-Velazquez, N Dehak
IEEE Journal of Selected Topics in Signal Processing, 1-12, 2022
202022
Non-Contrastive Self-Supervised Learning of Utterance-Level Speech Representations
J Cho, R Pappagari, P Żelasko, L Moro-Velazquez, J Villalba, N Dehak
interspeech 2022, 2022
122022
Learning speaker embedding from text-to-speech
J Cho, P Zelasko, J Villalba, S Watanabe, N Dehak
arXiv preprint arXiv:2010.11221, 2020
122020
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss
RS Srinivasa, J Cho, C Yang, YM Saidutta, CH Lee, Y Shen, H Jin
NeurIPS 2023, 2023
92023
Advances in Cross-Lingual and Cross-Source Audio-Visual Speaker Recognition: The JHU-MIT System for NIST SRE21.
J Villalba, BJ Borgstrom, S Kataria, M Rybicka, CD Castillo, J Cho, ...
Odyssey, 213-220, 2022
82022
End-To-End Personalized Cuff-Less Blood Pressure Monitoring Using ECG and PPG Signals
BN Suhas, RS Srinivasa, YM Saidutta, J Cho, CH Lee, C Yang, Y Shen, ...
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
42024
Advances in Speaker Recognition for Multilingual Conversational Telephone Speech: The JHU-MIT System for NIST SRE20 CTS Challenge.
J Villalba, BJ Borgstrom, S Kataria, J Cho, PA Torres-Carrasquillo, ...
Odyssey, 338-345, 2022
32022
Zero-Shot Intent Classification Using a Semantic Similarity Aware Contrastive Loss and Large Language Model
J Cho, RS Srinivasa, CH Lee, YM Saidutta, C Yang, Y Shen, H Jin
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
22024
Improving Reconstruction Loss Based Speaker Embedding in Unsupervised and Semi-Supervised Scenarios
J Cho, P Żelasko, J Villalba, N Dehak
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
22021
Leveraging Self-Supervised Speech Representations for Domain Adaptation in Speech Enhancement
CH Lee, C Yang, RS Srinivasa, YM Saidutta, J Cho, Y Shen, H Jin
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
12024
The JHU-MIT system description for NIST SRE20 CTS challenge
J Villalba, J Borgstrom, S Kataria, J Cho, PA Torres-Carrasquillo, N Dehak
12022
CROSS-MODAL TRANSFER WITH CONTINUOUSLY WEIGHTED CONTRASTIVE LOSS
RS Srinivasa, J Cho, C Yang, YM Saidutta, C Lee, Y Shen, H Jin
US Patent App. 18/434,691, 2024
2024
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Články 1–20