| A review of speaker diarization: Recent advances with deep learning TJ Park, N Kanda, D Dimitriadis, KJ Han, S Watanabe, S Narayanan Computer Speech & Language 72, 101317, 2022 | 440 | 2022 |
| Automatic speaker age and gender recognition using acoustic and prosodic level information fusion M Li, KJ Han, S Narayanan Computer Speech & Language 27 (1), 151-167, 2013 | 243 | 2013 |
| Auto-tuning spectral clustering for speaker diarization using normalized maximum eigengap TJ Park, KJ Han, M Kumar, S Narayanan IEEE Signal Processing Letters 27, 381-385, 2019 | 147 | 2019 |
| E-branchformer: Branchformer with enhanced merging for speech recognition K Kim, F Wu, Y Peng, J Pan, P Sridhar, KJ Han, S Watanabe 2022 IEEE Spoken Language Technology Workshop (SLT), 84-91, 2023 | 119 | 2023 |
| The CAPIO 2017 conversational speech recognition system KJ Han, A Chandrashekaran, J Kim, I Lane arXiv preprint arXiv:1801.00059, 2017 | 90 | 2017 |
| Strategies to improve the robustness of agglomerative hierarchical clustering under data source variation for speaker diarization KJ Han, S Kim, SS Narayanan IEEE Transactions on Audio, Speech, and Language Processing 16 (8), 1590-1601, 2008 | 82 | 2008 |
| Slue: New benchmark tasks for spoken language understanding evaluation on natural speech S Shon, A Pasad, F Wu, P Brusco, Y Artzi, K Livescu, KJ Han ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 81 | 2022 |
| State-of-the-art speech recognition using multi-stream self-attention with dilated 1d convolutions KJ Han, R Prieto, T Ma 2019 IEEE Automatic speech recognition and understanding workshop (ASRU), 54-61, 2019 | 80 | 2019 |
| Robust language identification using convolutional neural network features. S Ganapathy, KJ Han, S Thomas, MK Omar, M Van Segbroeck, ... Interspeech, 1846-1850, 2014 | 71 | 2014 |
| A robust stopping criterion for agglomerative hierarchical clustering in a speaker diarization system. KJ Han, SS Narayanan Interspeech, 1853-1856, 2007 | 59 | 2007 |
| Multistream CNN for robust acoustic modeling KJ Han, J Pan, VKN Tadala, T Ma, D Povey ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 54 | 2021 |
| Combining five acoustic level modeling methods for automatic speaker age and gender recognition. M Li, CS Jung, KJ Han INTERSPEECH, 2826-2829, 2010 | 48 | 2010 |
| Performance-efficiency trade-offs in unsupervised pre-training for speech recognition F Wu, K Kim, J Pan, KJ Han, KQ Weinberger, Y Artzi ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 45 | 2022 |
| Speaker diarization with lexical information TJ Park, KJ Han, J Huang, X He, B Zhou, P Georgiou, S Narayanan arXiv preprint arXiv:2004.06756, 2020 | 41 | 2020 |
| ASAPP-ASR: Multistream CNN and self-attentive SRU for SOTA speech recognition J Pan, J Shapiro, J Wohlwend, KJ Han, T Lei, T Ma arXiv preprint arXiv:2005.10469, 2020 | 40 | 2020 |
| Wav2seq: Pre-training speech-to-text encoder-decoder models using pseudo languages F Wu, K Kim, S Watanabe, KJ Han, R McDonald, KQ Weinberger, Y Artzi ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 38 | 2023 |
| Deep Learning-Based Telephony Speech Recognition in the Wild KJ Han, S Hahm, BH Kim, J Kim, IR Lane INTERSPEECH, 1323-1327, 2017 | 38 | 2017 |
| Identifying a driver of a vehicle SV Myers, S Elwart, WJ Talamonti, JT Mullen, ZD Nelson, T Smith, ... US Patent 9,707,911, 2017 | 34 | 2017 |
| Speechverse: A large-scale generalizable audio language model N Das, S Dingliwal, S Ronanki, R Paturi, Z Huang, P Mathur, J Yuan, ... arXiv preprint arXiv:2405.08295, 2024 | 30 | 2024 |
| Agglomerative hierarchical speaker clustering using incremental Gaussian mixture cluster modeling. KJ Han, SS Narayanan Interspeech, 20-23, 2008 | 30 | 2008 |
Shrikanth (Shri) NarayananUniversity Professor and Niki & Max Nikias Chair in Engineering, University of Southern California在 sipi.usc.edu 的电子邮件经过验证
