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ORCIDMinje Kim 0001
Person information
- affiliation: University of Illinois Urbana-Champaign, Urbana, IL, USA
Other persons with the same name
- Minje Kim — disambiguation page
- Minje Kim 0002
![[0009-0001-8570-1185]](https://dblp.org/img/orcid-mark.12x12.png "0009-0001-8570-1185")
— Ulsan National Institute of Science and Technology, Ulsan, Korea - Minje Kim 0003 — Korea Advanced Institute of Science and Technology, Daejeon, Korea
- Minje Kim 0004 — Gyeongsang National University, Jinju-si, Korea
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2020 – today
- 2026
[i16]Jackie Lin, Jiaqi Su, Nishit Anand, Zeyu Jin, Minje Kim, Paris Smaragdis:
Gencho: Room Impulse Response Generation from Reverberant Speech and Text via Diffusion Transformers. CoRR abs/2602.09233 (2026)- 2025
- [c31]Jae-Sung Bae, Anastasia Kuznetsova, Dinesh Manocha, John R. Hershey, Trausti T. Kristjansson, Minje Kim:
Generative Data Augmentation Challenge: Zero-Shot Speech Synthesis for Personalized Speech Enhancement. ICASSP Workshops 2025: 1-5 - [c30]Jürgen Herre, Schuyler Quackenbush, Minje Kim, Jan Skoglund:
Perceptual Audio Coding: A 40-Year Historical Perspective. ICASSP 2025: 1-5 - [c29]Jackie Lin, Georg Götz, Hermes Sampedro Llopis, Haukur Hafsteinsson, Steinar Guðjónsson, Daniel Gert Nielsen, Finnur Pind, Paris Smaragdis, Dinesh Manocha, John R. Hershey, Trausti T. Kristjansson, Minje Kim:
Generative Data Augmentation Challenge: Synthesis of Room Acoustics for Speaker Distance Estimation. ICASSP Workshops 2025: 1-5 - [c28]Yutong Wen, Minje Kim, Paris Smaragdis:
User-Guided Generative Source Separation. ISMIR 2025: 821-829 - [c27]Cameron Churchwell, Minje Kim, Paris Smaragdis:
Combolutional Neural Networks. WASPAA 2025: 1-5 - [c26]Anastasia Kuznetsova, Inseon Jang, Wootaek Lim, Minje Kim:
Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine. WASPAA 2025: 1-5 - [c25]Riccardo Miccini, Minje Kim, Clément Laroche, Luca Pezzarossa, Paris Smaragdis:
Adaptive Slimming for Scalable and Efficient Speech Enhancement. WASPAA 2025: 1-5 - [i15]Jackie Lin, Georg Götz, Hermes Sampedro Llopis, Haukur Hafsteinsson, Steinar Guðjónsson, Daniel Gert Nielsen, Finnur Pind, Paris Smaragdis, Dinesh Manocha, John R. Hershey, Trausti T. Kristjansson, Minje Kim:
Generative Data Augmentation Challenge: Synthesis of Room Acoustics for Speaker Distance Estimation. CoRR abs/2501.13250 (2025) - [i14]Jae-Sung Bae, Anastasia Kuznetsova, Dinesh Manocha, John R. Hershey, Trausti T. Kristjansson, Minje Kim:
Generative Data Augmentation Challenge: Zero-Shot Speech Synthesis for Personalized Speech Enhancement. CoRR abs/2501.13372 (2025) - [i13]Yutong Wen, Minje Kim, Paris Smaragdis:
User-guided Generative Source Separation. CoRR abs/2507.01339 (2025) - [i12]Riccardo Miccini, Minje Kim, Clément Laroche, Luca Pezzarossa, Paris Smaragdis:
Adaptive Slimming for Scalable and Efficient Speech Enhancement. CoRR abs/2507.04879 (2025) - [i11]Cameron Churchwell, Minje Kim, Paris Smaragdis:
Combolutional Neural Networks. CoRR abs/2507.21202 (2025) - [i10]Yutong Wen, Ke Chen, Prem Seetharaman, Oriol Nieto, Jiaqi Su, Rithesh Kumar, Minje Kim, Paris Smaragdis, Zeyu Jin, Justin Salamon:
PromptSep: Generative Audio Separation via Multimodal Prompting. CoRR abs/2511.04623 (2025) - 2024
- [j8]Jan Skoglund, Minje Kim, Xiulian Peng, Lars F. Villemoes:
Editorial JSTSP NSAC Editorial. IEEE J. Sel. Top. Signal Process. 18(8): 1397-1400 (2024) - [j7]Minje Kim, Jan Skoglund:
Neural Speech and Audio Coding: Modern AI technology meets traditional codecs [Special Issue On Model-Based and Data-Driven Audio Signal Processing]. IEEE Signal Process. Mag. 41(6): 85-93 (2024) - [i9]Minje Kim, Jan Skoglund:
Neural Speech and Audio Coding. CoRR abs/2408.06954 (2024) - 2023
- [c24]Anastasia Kuznetsova, Aswin Sivaraman, Minje Kim:
The Potential of Neural Speech Synthesis-Based Data Augmentation for Personalized Speech Enhancement. ICASSP 2023: 1-5 - [c23]Darius Petermann, Inseon Jang, Minje Kim:
Native Multi-Band Audio Coding Within Hyper-Autoencoded Reconstruction Propagation Networks. ICASSP 2023: 1-5 - [c22]Haici Yang, Wootaek Lim, Minje Kim:
Neural Feature Predictor and Discriminative Residual Coding for Low-Bitrate Speech Coding. ICASSP 2023: 1-5 - 2022
- [j6]Aswin Sivaraman, Minje Kim:
Efficient Personalized Speech Enhancement Through Self-Supervised Learning. IEEE J. Sel. Top. Signal Process. 16(6): 1342-1356 (2022) - [j5]Kai Zhen, Jongmo Sung, Mi Suk Lee, Seungkwon Beack, Minje Kim:
Scalable and Efficient Neural Speech Coding: A Hybrid Design. IEEE ACM Trans. Audio Speech Lang. Process. 30: 12-25 (2022) - [j4]Sunwoo Kim, Minje Kim:
Boosted Locality Sensitive Hashing: Discriminative, Efficient, and Scalable Binary Codes for Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2659-2672 (2022) - [c21]Sunwoo Kim, Minje Kim:
Bloom-Net: Blockwise Optimization for Masking Networks Toward Scalable and Efficient Speech Enhancement. ICASSP 2022: 366-370 - 2021
- [c20]Aswin Sivaraman, Sunwoo Kim, Minje Kim:
Personalized Speech Enhancement Through Self-Supervised Data Augmentation and Purification. Interspeech 2021: 2676-2680 - [c19]Sunwoo Kim, Minje Kim:
Test-Time Adaptation Toward Personalized Speech Enhancement: Zero-Shot Learning with Knowledge Distillation. WASPAA 2021: 176-180 - [i8]Aswin Sivaraman, Sunwoo Kim, Minje Kim:
Personalized Speech Enhancement through Self-Supervised Data Augmentation and Purification. CoRR abs/2104.02018 (2021) - [i7]Sunwoo Kim, Minje Kim:
Test-Time Adaptation Toward Personalized Speech Enhancement: Zero-Shot Learning with Knowledge Distillation. CoRR abs/2105.03544 (2021) - [i6]Sunwoo Kim, Minje Kim:
BLOOM-Net: Blockwise Optimization for Masking Networks Toward Scalable and Efficient Speech Enhancement. CoRR abs/2111.09372 (2021) - 2020
- [j3]Kai Zhen, Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Minje Kim:
Psychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding. IEEE Signal Process. Lett. 27: 2159-2163 (2020) - [c18]Sunwoo Kim, Haici Yang, Minje Kim:
Boosted Locality Sensitive Hashing: Discriminative Binary Codes for Source Separation. ICASSP 2020: 106-110 - [i5]Sunwoo Kim, Haici Yang, Minje Kim:
Boosted Locality Sensitive Hashing: Discriminative Binary Codes for Source Separation. CoRR abs/2002.06239 (2020)
2010 – 2019
- 2019
- [c17]Sunwoo Kim, Mrinmoy Maity, Minje Kim:
Incremental Binarization on Recurrent Neural Networks for Single-channel Source Separation. ICASSP 2019: 376-380 - [i4]Sunwoo Kim, Mrinmoy Maity, Minje Kim:
Incremental Binarization On Recurrent Neural Networks For Single-Channel Source Separation. CoRR abs/1908.08898 (2019) - [i3]Sunwoo Kim, Minje Kim:
Nearest Neighbor Search-Based Bitwise Source Separation Using Discriminant Winner-Take-All Hashing. CoRR abs/1908.09799 (2019) - 2018
- [c16]Minje Kim, Paris Smaragdis:
Bitwise Neural Networks for Efficient Single-Channel Source Separation. ICASSP 2018: 701-705 - 2016
- [c15]Minje Kim, Paris Smaragdis:
Efficient neighborhood-based topic modeling for collaborative audio enhancement on massive crowdsourced recordings. ICASSP 2016: 41-45 - [i2]Minje Kim, Paris Smaragdis:
Bitwise Neural Networks. CoRR abs/1601.06071 (2016) - 2015
- [j2]Minje Kim, Paris Smaragdis:
Mixtures of Local Dictionaries for Unsupervised Speech Enhancement. IEEE Signal Process. Lett. 22(3): 288-292 (2015) - [j1]Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis:
Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. 23(12): 2136-2147 (2015) - [c14]Minje Kim, Paris Smaragdis:
Adaptive Denoising Autoencoders: A Fine-Tuning Scheme to Learn from Test Mixtures. LVA/ICA 2015: 100-107 - [c13]Minje Kim, Paris Smaragdis, Gautham J. Mysore:
Efficient manifold preserving audio source separation using locality sensitive hashing. ICASSP 2015: 479-483 - [i1]Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis:
Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation. CoRR abs/1502.04149 (2015) - 2014
- [c12]Minje Kim, Paris Smaragdis:
Efficient model selection for speech enhancement using a deflation method for Nonnegative Matrix Factorization. GlobalSIP 2014: 537-541 - [c11]Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis:
Deep learning for monaural speech separation. ICASSP 2014: 1562-1566 - [c10]Johannes Traa, Minje Kim, Paris Smaragdis:
Phase and level difference fusion for robust multichannel source separation. ICASSP 2014: 6687-6691 - [c9]Ding Liu, Paris Smaragdis, Minje Kim:
Experiments on deep learning for speech denoising. INTERSPEECH 2014: 2685-2689 - [c8]Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis:
Singing-Voice Separation from Monaural Recordings using Deep Recurrent Neural Networks. ISMIR 2014: 477-482 - 2013
- [c7]Minje Kim, Paris Smaragdis:
Collaborative audio enhancement using probabilistic latent component sharing. ICASSP 2013: 896-900 - [c6]Minje Kim, Paris Smaragdis:
Manifold Preserving Hierarchical Topic Models for Quantization and Approximation. ICML (3) 2013: 1373-1381 - [c5]Chuanjun Zhang, Glenn G. Ko, Jungwook Choi, Shang-nien Tsai, Minje Kim, Abner Guzmán-Rivera, Rob A. Rutenbar, Paris Smaragdis, Mi Sun Park, Vijaykrishnan Narayanan, Hongyi Xin, Onur Mutlu, Bin Li, Li Zhao, Mei Chen:
EMERALD: Characterization of emerging applications and algorithms for low-power devices. ISPASS 2013: 122-123 - [c4]Minje Kim, Paris Smaragdis:
Single channel source separation using smooth Nonnegative Matrix Factorization with Markov Random Fields. MLSP 2013: 1-6 - [c3]Paris Smaragdis, Minje Kim:
Non-negative matrix factorization for irregularly-spaced transforms. WASPAA 2013: 1-4 - 2012
- [c2]Minje Kim, Paris Smaragdis, Glenn G. Ko, Rob A. Rutenbar:
Stereophonic spectrogram segmentation using Markov random fields. MLSP 2012: 1-6
2000 – 2009
- 2006
- [c1]Minje Kim, Seungjin Choi:
ICA-Based Clustering for Resolving Permutation Ambiguity in Frequency-Domain Convolutive Source Separation. ICPR (1) 2006: 950-954
Coauthor Index
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