Minje Kim

Orcid: 0000-0003-3513-8328

Affiliations:
  • University of Illinois Urbana-Champaign, Urbana, IL, USA


According to our database1, Minje Kim authored at least 41 papers between 2006 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2025
PromptSep: Generative Audio Separation via Multimodal Prompting.
CoRR, November, 2025

Combolutional Neural Networks.
CoRR, July, 2025

Adaptive Slimming for Scalable and Efficient Speech Enhancement.
CoRR, July, 2025

User-Guided Generative Source Separation.
Proceedings of the 26th International Society for Music Information Retrieval Conference, 2025

Generative Data Augmentation Challenge: Synthesis of Room Acoustics for Speaker Distance Estimation.
Proceedings of the IEEE International Conference on Acoustics, 2025

Perceptual Audio Coding: A 40-Year Historical Perspective.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Editorial JSTSP NSAC Editorial.
IEEE J. Sel. Top. Signal Process., December, 2024

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., November, 2024

Neural Speech and Audio Coding.
CoRR, 2024

2023
Neural Feature Predictor and Discriminative Residual Coding for Low-Bitrate Speech Coding.
Proceedings of the IEEE International Conference on Acoustics, 2023

Native Multi-Band Audio Coding Within Hyper-Autoencoded Reconstruction Propagation Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023

The Potential of Neural Speech Synthesis-Based Data Augmentation for Personalized Speech Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Scalable and Efficient Neural Speech Coding: A Hybrid Design.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Boosted Locality Sensitive Hashing: Discriminative, Efficient, and Scalable Binary Codes for Source Separation.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Efficient Personalized Speech Enhancement Through Self-Supervised Learning.
IEEE J. Sel. Top. Signal Process., 2022

Bloom-Net: Blockwise Optimization for Masking Networks Toward Scalable and Efficient Speech Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Test-Time Adaptation Toward Personalized Speech Enhancement: Zero-Shot Learning with Knowledge Distillation.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

Personalized Speech Enhancement Through Self-Supervised Data Augmentation and Purification.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020
Psychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding.
IEEE Signal Process. Lett., 2020

Boosted Locality Sensitive Hashing: Discriminative Binary Codes for Source Separation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Nearest Neighbor Search-Based Bitwise Source Separation Using Discriminant Winner-Take-All Hashing.
CoRR, 2019

Incremental Binarization on Recurrent Neural Networks for Single-channel Source Separation.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Bitwise Neural Networks for Efficient Single-Channel Source Separation.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2016
Bitwise Neural Networks.
CoRR, 2016

Efficient neighborhood-based topic modeling for collaborative audio enhancement on massive crowdsourced recordings.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation.
IEEE ACM Trans. Audio Speech Lang. Process., 2015

Mixtures of Local Dictionaries for Unsupervised Speech Enhancement.
IEEE Signal Process. Lett., 2015

Efficient manifold preserving audio source separation using locality sensitive hashing.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Adaptive Denoising Autoencoders: A Fine-Tuning Scheme to Learn from Test Mixtures.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

2014
Singing-Voice Separation from Monaural Recordings using Deep Recurrent Neural Networks.
Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

Experiments on deep learning for speech denoising.
Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Phase and level difference fusion for robust multichannel source separation.
Proceedings of the IEEE International Conference on Acoustics, 2014

Deep learning for monaural speech separation.
Proceedings of the IEEE International Conference on Acoustics, 2014

Efficient model selection for speech enhancement using a deflation method for Nonnegative Matrix Factorization.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013
Non-negative matrix factorization for irregularly-spaced transforms.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013

Single channel source separation using smooth Nonnegative Matrix Factorization with Markov Random Fields.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

EMERALD: Characterization of emerging applications and algorithms for low-power devices.
Proceedings of the 2012 IEEE International Symposium on Performance Analysis of Systems & Software, 2013

Manifold Preserving Hierarchical Topic Models for Quantization and Approximation.
Proceedings of the 30th International Conference on Machine Learning, 2013

Collaborative audio enhancement using probabilistic latent component sharing.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Stereophonic spectrogram segmentation using Markov random fields.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

2006
ICA-Based Clustering for Resolving Permutation Ambiguity in Frequency-Domain Convolutive Source Separation.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006


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