Minje Kim
Orcid: 0000-0003-3513-8328
According to our database1,
Minje Kim
authored at least 77 papers
between 2005 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
BiTT: Bi-directional Texture Reconstruction of Interacting Two Hands from a Single Image.
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
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
IEEE J. Sel. Top. Signal Process., 2022
Stochastic gradient descent-based support vector machines training optimization on Big Data and HPC frameworks.
Concurr. Comput. Pract. Exp., 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Upmixing Via Style Transfer: A Variational Autoencoder for Disentangling Spatial Images And Musical Content.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Bloom-Net: Blockwise Optimization for Masking Networks Toward Scalable and Efficient Speech Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021
Harp-Net: Hyper-Autoencoded Reconstruction Propagation for Scalable Neural Audio Coding.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 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 Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the 29th European Signal Processing Conference, 2021
Proceedings of the 29th European Signal Processing Conference, 2021
2020
Psychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding.
IEEE Signal Process. Lett., 2020
Proceedings of the Interspeech 2020, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Efficient and Scalable Neural Residual Waveform Coding with Collaborative Quantization.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
A Dual-Staged Context Aggregation Method towards Efficient End-to-End Speech Enhancement.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 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
Efficient Context Aggregation for End-to-End Speech Enhancement Using a Densely Connected Convolutional and Recurrent Network.
CoRR, 2019
CoRR, 2019
Deep Autotuner: A Data-Driven Approach to Natural-Sounding Pitch Correction for Singing Voice in Karaoke Performances.
CoRR, 2019
Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019
Cascaded Cross-Module Residual Learning Towards Lightweight End-to-End Speech Coding.
Proceedings of the Interspeech 2019, 2019
Intonation: A Dataset of Quality Vocal Performances Refined by Spectral Clustering on Pitch Congruence.
Proceedings of the IEEE International Conference on Acoustics, 2019
Incremental Binarization on Recurrent Neural Networks for Single-channel Source Separation.
Proceedings of the IEEE International Conference on Acoustics, 2019
Performance Optimization on Model Synchronization in Parallel Stochastic Gradient Descent Based SVM.
Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019
2018
CoRR, 2018
On Psychoacoustically Weighted Cost Functions Towards Resource-Efficient Deep Neural Networks for Speech Denoising.
CoRR, 2018
Proceedings of the 24th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Bitwise Source Separation on Hashed Spectra: An Efficient Posterior Estimation Scheme Using Partial Rank Order Metrics.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Collaborative Speech Dereverberation: Regularized Tensor Factorization for Crowdsourced Multi-Channel Recordings.
Proceedings of the 26th European Signal Processing Conference, 2018
Creative leaps in musical ecosystems: early warning signals of critical transitions in professional jazz.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018
2017
On Exploiting Structured Human Interactions to Enhance Sensing Accuracy in Cyber-physical Systems.
ACM Trans. Cyber Phys. Syst., 2017
XNOR-POP: A processing-in-memory architecture for binary Convolutional Neural Networks in Wide-IO2 DRAMs.
Proceedings of the 2017 IEEE/ACM International Symposium on Low Power Electronics and Design, 2017
Towards expressive instrument synthesis through smooth frame-by-frame reconstruction: From string to woodwind.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Collaborative Deep Learning for speech enhancement: A run-time model selection method using autoencoders.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
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
IEEE Signal Process. Lett., 2015
Exploiting structured human interactions to enhance estimation accuracy in cyber-physical systems.
Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems, 2015
Efficient manifold preserving audio source separation using locality sensitive hashing.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
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
Proceedings of the INTERSPEECH 2014, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
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
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
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
2012
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
2011
Nonnegative Matrix Partial Co-Factorization for Spectral and Temporal Drum Source Separation.
IEEE J. Sel. Top. Signal Process., 2011
2010
Proceedings of the IEEE International Conference on Acoustics, 2010
Proceedings of the IEEE International Conference on Acoustics, 2010
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
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006
2005
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005