| Broadcasted residual learning for efficient keyword spotting B Kim, S Chang, J Lee, D Sung INTERSPEECH 2021, 4538-4542, 2021 | 138 | 2021 |
| TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation H Lim, B Kim, J Choo, S Choi International Conference on Learning Representations (ICLR) 2023, 2023 | 96 | 2023 |
| QTI Submission to DCASE 2021: Residual Normalization for Device-Imbalanced Acoustic Scene Classification with Efficient Design B Kim, S Yang, J Kim, S Chang DCASE 2021 Challenge, Tech. Rep, 2021 | 90 | 2021 |
| Query-by-example on-device keyword spotting B Kim, M Lee, J Lee, Y Kim, K Hwang ASRU 2019, 532-538, 2019 | 51 | 2019 |
| Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification B Kim, S Yang, J Kim, H Park, J Lee, S Chang INTERSPEECH 2022, 2393-2397, 2022 | 47 | 2022 |
| Domain Generalization on Efficient Acoustic Scene Classification Using Residual Normalization B Kim, S Yang, J Kim, S Chang DCASE 2021 Workshop, 21--25, 2021 | 22 | 2021 |
| Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting B Kim, S Yang, I Chung, S Chang INTERSPEECH 2022, 4621-4625, 2022 | 16 | 2022 |
| Orthogonality constrained multi-head attention for keyword spotting M Lee, J Lee, HJ Jang, B Kim, W Chang, K Hwang ASRU 2019, 86-92, 2019 | 13 | 2019 |
| Personalized Keyword Spotting through Multi-task Learning S Yang, B Kim, I Chung, S Chang INTERSPEECH 2022, 1881-1885, 2022 | 12 | 2022 |
| Task-agnostic open-set prototype for few-shot open-set recognition B Kim, JT Lee, K Shim, S Chang 2023 IEEE International Conference on Image Processing (ICIP), 31-35, 2023 | 5 | 2023 |
| Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data S Yang, B Kim, K Shim, S Chang INTERSPEECH 2023, 1633-1637, 2023 | 2 | 2023 |
| Dummy prototypical networks for few-shot open-set keyword spotting B Kim, Y Seunghan, I Chung, S Chang US Patent App. 18/062,976, 2023 | 1 | 2023 |
| Relaxed instance frequency normalization for neural-network-based audio processing B Kim, Y Seunghan, P Hyunsin, LEE Juntae, S Chang US Patent App. 17/937,765, 2023 | 1 | 2023 |
| Scalable Weight Reparametrization for Efficient Transfer Learning B Kim, JT Lee, S Yang, S Chang ICASSP 2023, 2023 | 1 | 2023 |
| Effective techniques for scaling audio encoder pretraining B Kim, A Bydlon, Q Tang, H Phan, CC Kao, T Zhang, C Wang ICASSP 2025, 2025 | | 2025 |
| Unlocking Transfer Learning for Open-World Few-Shot Recognition B Kim, J Lee, K Shim, S Chang arXiv preprint arXiv:2411.09986, 2024 | | 2024 |
| Target keyword selection W Chang, J Lee, LEE Mingu, J Lee, B Kim, S Dooyong, J Choi, ... US Patent 12,039,968, 2024 | | 2024 |
| Task agnostic open-set prototypes for few-shot open-set recognition B Kim, LEE Juntae, S Chang US Patent 12,019,641, 2024 | | 2024 |
| Purified contrastive learning for lightweight neural network training S Chang, B Kim, Y Seunghan, S Kyuhong US Patent App. 18/456,112, 2024 | | 2024 |
| Scalable weight reparameterization for efficient transfer learning B Kim, LEE Juntae, Y Seunghan, S Chang US Patent App. 18/323,197, 2024 | | 2024 |
Simyung ChangQualcomm AI researchПідтверджена електронна адреса в qti.qualcomm.com
