| 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 | 139 | 2018 |
| 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 | 135 | 2018 |
| Deep Neural Networks for Emotion Recognition Combining Audio and Transcripts. J Cho, R Pappagari, P Kulkarni, J Villalba, Y Carmiel, N Dehak Interspeech, 247-251, 2018 | 117 | 2018 |
| 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 | 72 | 2020 |
| 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 | 48 | 2019 |
| 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 | 45 | 2021 |
| 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 | 30 | 2019 |
| The JHU submission to VoxSRC-21: Track 3 J Cho, J Villalba, N Dehak arXiv preprint arXiv:2109.13425, 2021 | 18 | 2021 |
| 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 | 14 | 2022 |
| Learning speaker embedding from text-to-speech J Cho, P Zelasko, J Villalba, S Watanabe, N Dehak arXiv preprint arXiv:2010.11221, 2020 | 11 | 2020 |
| 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 | 10 | 2022 |
| Language model integration based on memory control for sequence to sequence speech recognition J Cho, S Watanabe, T Hori, MK Baskar, H Inaguma, J Villalba, N Dehak ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 8 | 2019 |
| 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 | 7 | 2022 |
| 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 | 5 | 2023 |
| 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 | 3 | 2022 |
| 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 | 1 | 2021 |
| 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 | | 2024 |
| 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 | | 2024 |
| 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 | | 2024 |
| LEARNING UTTERANCE LEVEL REPRESENTATION FROM SPEECH J Cho Johns Hopkins University, 2022 | | 2022 |
Najim DehakAssociate Professor at ECE department, Johns Hopkins University.在 jhu.edu 的电子邮件经过验证
