| On psychoacoustically weighted cost functions towards resource-efficient deep neural networks for speech denoising K Zhen, A Sivaraman, J Sung, M Kim arXiv preprint arXiv:1801.09774, 2018 | 5 | 2018 |
| Sparse Mixture of Local Experts for Efficient Speech Enhancement A Sivaraman, M Kim Proc. Interspeech 2020, 4526-4530, 2020 | 4 | 2020 |
| Detecting extraneous content in podcasts S Reddy, Y Yu, A Pappu, A Sivaraman, R Rezapour, R Jones arXiv preprint arXiv:2103.02585, 2021 | 2 | 2021 |
| Deep Autotuner: A Data-Driven Approach To Natural-Sounding Pitch Correction For Singing Voice In Karaoke Performances S Wager, G Tzanetakis, C Wang, L Guo, A Sivaraman, M Kim IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), Submitted …, 0 | 1* | |
| Self-Supervised Learning for Personalized Speech Enhancement A Sivaraman, M Kim arXiv preprint arXiv:2104.02017, 2021 | | 2021 |
| Personalized Speech Enhancement through Self-Supervised Data Augmentation and Purification A Sivaraman, S Kim, M Kim arXiv preprint arXiv:2104.02018, 2021 | | 2021 |
| Self-Supervised Learning from Contrastive Mixtures for Personalized Speech Enhancement A Sivaraman, M Kim arXiv preprint arXiv:2011.03426, 2020 | | 2020 |
| Audio signal encoding method and apparatus and audio signal decoding method and apparatus using psychoacoustic-based weighted error function J Sung, M Kim, A Sivaraman, K Zhen US Patent App. 16/122,708, 2019 | | 2019 |
| A Data-Driven Approach to Smooth Pitch Correction for Singing Voice in Pop Music S Wager, L Guo, A Sivaraman, M Kim arXiv preprint arXiv:1805.02603, 2018 | | 2018 |
| Quantization Error Tolerance in Hashed Audio Spectra A Sivaraman | | 2015 |
Minje KimAssistant Professor at Indiana University BloomingtonVerified email at indiana.edu
