Minje Kim

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 86

Top Venues

CoRR

ICASSP

INTERSPEECH

IEEE ACM Trans. Audio Speech Lang. Process.

Publications

Yoseop Ahn, Minje Kim, Jeongah Lee, Yiwen Shen, Jaehoon Jeong
IoT Edge-Cloud: An Internet-of-Things Edge-Empowered Cloud System for Device Management in Smart Spaces. IEEE Netw. 38 (3) (2024)
Darius Petermann, Minje Kim
Hyperbolic Distance-Based Speech Separation. CoRR (2024)
Jaehoon Jang, Inha Lee, Minje Kim, Kyungdon Joo
AiSDF: Structure-Aware Neural Signed Distance Fields in Indoor Scenes. IEEE Robotics Autom. Lett. 9 (5) (2024)
Haici Yang, Inseon Jang, Minje Kim
Generative De-Quantization for Neural Speech Codec Via Latent Diffusion. ICASSP (2024)
Jaehoon Jang, Inha Lee, Minje Kim, Kyungdon Joo
AiSDF: Structure-aware Neural Signed Distance Fields in Indoor Scenes. CoRR (2024)
Inseon Jang, Haici Yang, Wootaek Lim, Seungkwon Beack, Minje Kim
Personalized Neural Speech Codec. CoRR (2024)
Kahyun Choi, Minje Kim
A Comparative Analysis of Poetry Reading Audio: Singing, Narrating, or Somewhere in Between? ICASSP (2024)
Minje Kim, Tae-Kyun Kim
BiTT: Bi-directional Texture Reconstruction of Interacting Two Hands from a Single Image. CoRR (2024)
Kahyun Choi, Minje Kim
A Comparative Analysis of Poetry Reading Audio: Singing, Narrating, or Somewhere In Between? CoRR (2024)
Darius Petermann, Minje Kim
Hyperbolic Distance-Based Speech Separation. ICASSP (2024)
Inseon Jang, Haici Yang, Wootaek Lim, Seungkwon Beack, Minje Kim
Personalized Neural Speech Codec. ICASSP (2024)
Minje Kim, Trausti Kristjansson
Scalable and Efficient Speech Enhancement Using Modified Cold Diffusion: A Residual Learning Approach. ICASSP (2024)
Darius Petermann, Inseon Jang, Minje Kim
Native Multi-Band Audio Coding within Hyper-Autoencoded Reconstruction Propagation Networks. CoRR (2023)
Anastasia Kuznetsova, Aswin Sivaraman, Minje Kim
The Potential of Neural Speech Synthesis-Based Data Augmentation for Personalized Speech Enhancement. ICASSP (2023)
Darius Petermann, Inseon Jang, Minje Kim
Native Multi-Band Audio Coding Within Hyper-Autoencoded Reconstruction Propagation Networks. ICASSP (2023)
Haici Yang, Wootaek Lim, Minje Kim
Neural Feature Predictor and Discriminative Residual Coding for Low-Bitrate Speech Coding. ICASSP (2023)
Haici Yang, Inseon Jang, Minje Kim
Generative De-Quantization for Neural Speech Codec via Latent Diffusion. CoRR (2023)
Haici Yang, Sanna Wager, Spencer Russell, Mike Luo, Minje Kim, Wontak Kim
Upmixing via style transfer: a variational autoencoder for disentangling spatial images and musical content. CoRR (2022)
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 (2022)
Haici Yang, Shivani Firodiya, Nicholas J. Bryan, Minje Kim
Don't Separate, Learn To Remix: End-To-End Neural Remixing With Joint Optimization. ICASSP (2022)
Anastasia Kuznetsova, Aswin Sivaraman, Minje Kim
The Potential of Neural Speech Synthesis-based Data Augmentation for Personalized Speech Enhancement. CoRR (2022)
Haici Yang, Sanna Wager, Spencer Russell, Mike Luo, Minje Kim, Wontak Kim
Upmixing Via Style Transfer: A Variational Autoencoder for Disentangling Spatial Images And Musical Content. ICASSP (2022)
Vibhatha Abeykoon, Geoffrey C. Fox, Minje Kim, Saliya Ekanayake, Supun Kamburugamuve, Kannan Govindarajan, Pulasthi Wickramasinghe, Niranda Perera, Chathura Widanage, Ahmet Uyar, Gurhan Gunduz, Selahatin Akkas
Stochastic gradient descent-based support vector machines training optimization on Big Data and HPC frameworks. Concurr. Comput. Pract. Exp. 34 (8) (2022)
Aswin Sivaraman, Minje Kim
Efficient Personalized Speech Enhancement Through Self-Supervised Learning. IEEE J. Sel. Top. Signal Process. 16 (6) (2022)
Hao Zhang, Srivatsan Kandadai, Harsha Rao, Minje Kim, Tarun Pruthi, Trausti Kristjansson
Deep Adaptive Aec: Hybrid of Deep Learning and Adaptive Acoustic Echo Cancellation. ICASSP (2022)
Haici Yang, Wootaek Lim, Minje Kim
Neural Feature Predictor and Discriminative Residual Coding for Low-Bitrate Speech Coding. CoRR (2022)
Sunwoo Kim, Minje Kim
Bloom-Net: Blockwise Optimization for Masking Networks Toward Scalable and Efficient Speech Enhancement. ICASSP (2022)
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 (2022)
Darius Petermann, Minje Kim
Spain-Net: Spatially-Informed Stereophonic Music Source Separation. ICASSP (2022)
Darius Petermann, Minje Kim
SpaIn-Net: Spatially-Informed Stereophonic Music Source Separation. CoRR (2022)
Darius Petermann, Seungkwon Beack, Minje Kim
HARP-Net: Hyper-Autoencoded Reconstruction Propagation for Scalable Neural Audio Coding. CoRR (2021)
Sunwoo Kim, Minje Kim
Test-Time Adaptation Toward Personalized Speech Enhancement: Zero-Shot Learning with Knowledge Distillation. CoRR (2021)
Haici Yang, Shivani Firodiya, Nicholas J. Bryan, Minje Kim
Neural Remixer: Learning to Remix Music with Interactive Control. CoRR (2021)
Darius Petermann, Seungkwon Beack, Minje Kim
Harp-Net: Hyper-Autoencoded Reconstruction Propagation for Scalable Neural Audio Coding. WASPAA (2021)
Aswin Sivaraman, Minje Kim
Self-Supervised Learning for Personalized Speech Enhancement. CoRR (2021)
R. David Badger, Minje Kim
Singular Value Decomposition for Compression of Large-Scale Radio Frequency Signals. EUSIPCO (2021)
Aswin Sivaraman, Minje Kim
Zero-Shot Personalized Speech Enhancement Through Speaker-Informed Model Selection. WASPAA (2021)
Sunwoo Kim, Minje Kim
Test-Time Adaptation Toward Personalized Speech Enhancement: Zero-Shot Learning with Knowledge Distillation. WASPAA (2021)
Kai Zhen, Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Minje Kim
Psychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding. CoRR (2021)
Sunwoo Kim, Minje Kim
BLOOM-Net: Blockwise Optimization for Masking Networks Toward Scalable and Efficient Speech Enhancement. CoRR (2021)
R. David Badger, Kristopher H. Jung, Minje Kim
An Open-Sourced Time-Frequency Domain RF Classification Framework. EUSIPCO (2021)
Aswin Sivaraman, Minje Kim
Zero-Shot Personalized Speech Enhancement through Speaker-Informed Model Selection. CoRR (2021)
Haici Yang, Kai Zhen, Seungkwon Beack, Minje Kim
Source-Aware Neural Speech Coding for Noisy Speech Compression. ICASSP (2021)
Kai Zhen, Jongmo Sung, Mi Suk Lee, Seungkwon Beack, Minje Kim
Scalable and Efficient Neural Speech Coding. CoRR (2021)
Aswin Sivaraman, Sunwoo Kim, Minje Kim
Personalized Speech Enhancement Through Self-Supervised Data Augmentation and Purification. Interspeech (2021)
Aswin Sivaraman, Sunwoo Kim, Minje Kim
Personalized Speech Enhancement through Self-Supervised Data Augmentation and Purification. CoRR (2021)
Kai Zhen, Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Minje Kim
Efficient And Scalable Neural Residual Waveform Coding With Collaborative Quantization. CoRR (2020)
Kai Zhen, Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Minje Kim
Efficient and Scalable Neural Residual Waveform Coding with Collaborative Quantization. ICASSP (2020)
Kai Zhen, Mi Suk Lee, Minje Kim
A Dual-Staged Context Aggregation Method towards Efficient End-to-End Speech Enhancement. ICASSP (2020)
Aswin Sivaraman, Minje Kim
Self-Supervised Learning from Contrastive Mixtures for Personalized Speech Enhancement. CoRR (2020)
Sunwoo Kim, Haici Yang, Minje Kim
Boosted Locality Sensitive Hashing: Discriminative Binary Codes for Source Separation. CoRR (2020)
Aswin Sivaraman, Minje Kim
Sparse Mixture of Local Experts for Efficient Speech Enhancement. CoRR (2020)
Qian Lou, Feng Guo, Minje Kim, Lantao Liu, Lei Jiang
AutoQ: Automated Kernel-Wise Neural Network Quantization. ICLR (2020)
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 (2020)
Sanna Wager, George Tzanetakis, Cheng-i Wang, Minje Kim
Deep Autotuner: A Pitch Correcting Network for Singing Performances. ICASSP (2020)
Sanna Wager, George Tzanetakis, Cheng-i Wang, Minje Kim
Deep Autotuner: a Pitch Correcting Network for Singing Performances. CoRR (2020)
Sunwoo Kim, Haici Yang, Minje Kim
Boosted Locality Sensitive Hashing: Discriminative Binary Codes for Source Separation. ICASSP (2020)
Aswin Sivaraman, Minje Kim
Sparse Mixture of Local Experts for Efficient Speech Enhancement. INTERSPEECH (2020)
Kai Zhen, Jongmo Sung, Mi Suk Lee, Seungkwon Beack, Minje Kim
Cascaded Cross-Module Residual Learning Towards Lightweight End-to-End Speech Coding. INTERSPEECH (2019)
Sunwoo Kim, Mrinmoy Maity, Minje Kim
Incremental Binarization on Recurrent Neural Networks for Single-channel Source Separation. ICASSP (2019)
Vibhatha Lakmal Abeykoon, Geoffrey Charles Fox, Minje Kim
Performance Optimization on Model Synchronization in Parallel Stochastic Gradient Descent Based SVM. CCGRID (2019)
Qian Lou, Lantao Liu, Minje Kim, Lei Jiang
AutoQB: AutoML for Network Quantization and Binarization on Mobile Devices. CoRR (2019)
Sunwoo Kim, Mrinmoy Maity, Minje Kim
Incremental Binarization On Recurrent Neural Networks For Single-Channel Source Separation. CoRR (2019)
Kai Zhen, Mi Suk Lee, Minje Kim
Efficient Context Aggregation for End-to-End Speech Enhancement Using a Densely Connected Convolutional and Recurrent Network. CoRR (2019)
Vibhatha Abeykoon, Geoffrey C. Fox, Minje Kim
Performance Optimization on Model Synchronization in Parallel Stochastic Gradient Descent Based SVM. CoRR (2019)
Sanna Wager, George Tzanetakis, Cheng-i Wang, Lijiang Guo, Aswin Sivaraman, Minje Kim
Deep Autotuner: A Data-Driven Approach to Natural-Sounding Pitch Correction for Singing Voice in Karaoke Performances. CoRR (2019)
Sunwoo Kim, Minje Kim
Nearest Neighbor Search-Based Bitwise Source Separation Using Discriminant Winner-Take-All Hashing. CoRR (2019)
Sanna Wager, George Tzanetakis, Stefan Sullivan, Cheng-i Wang, John Shimmin, Minje Kim, Perry Cook
Intonation: A Dataset of Quality Vocal Performances Refined by Spectral Clustering on Pitch Congruence. ICASSP (2019)
Geoffrey C. Fox, James A. Glazier, J. C. S. Kadupitiya, Vikram Jadhao, Minje Kim, Judy Qiu, James P. Sluka, Endre T. Somogyi, Madhav Marathe, Abhijin Adiga, Jiangzhuo Chen, Oliver Beckstein, Shantenu Jha
Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation. CoRR (2019)
Geoffrey C. Fox, James A. Glazier, J. C. S. Kadupitiya, Vikram Jadhao, Minje Kim, Judy Qiu, James P. Sluka, Endre T. Somogyi, Madhav Marathe, Abhijin Adiga, Jiangzhuo Chen, Oliver Beckstein, Shantenu Jha
Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation. IPDPS Workshops (2019)
Kai Zhen, Jongmo Sung, Mi Suk Lee, Seungkwon Beack, Minje Kim
Cascaded Cross-Module Residual Learning towards Lightweight End-to-End Speech Coding. CoRR (2019)
Matthew Setzler, Tyler Marghetis, Minje Kim
Creative leaps in musical ecosystems: early warning signals of critical transitions in professional jazz. CogSci (2018)
Lijiang Guo, Minje Kim
Bitwise Source Separation on Hashed Spectra: An Efficient Posterior Estimation Scheme Using Partial Rank Order Metrics. ICASSP (2018)
Minje Kim, Paris Smaragdis
Bitwise Neural Networks for Efficient Single-Channel Source Separation. ICASSP (2018)
Sanna Wager, Lijiang Guo, Aswin Sivaraman, Minje Kim
A Data-Driven Approach to Smooth Pitch Correction for Singing Voice in Pop Music. CoRR (2018)
Michael Garrett Bechtel, Elise McEllhiney, Minje Kim, Heechul Yun
DeepPicar: A Low-Cost Deep Neural Network-Based Autonomous Car. RTCSA (2018)
Kai Zhen, Aswin Sivaraman, Jongmo Sung, Minje Kim
On Psychoacoustically Weighted Cost Functions Towards Resource-Efficient Deep Neural Networks for Speech Denoising. CoRR (2018)
Sanna Wager, Minje Kim
Collaborative Speech Dereverberation: Regularized Tensor Factorization for Crowdsourced Multi-Channel Recordings. EUSIPCO (2018)
Minje Kim
Collaborative Deep Learning for Speech Enhancement: A Run-Time Model Selection Method Using Autoencoders. CoRR (2017)
Hongwei Wang, Yunlong Gao, Shaohan Hu, Shiguang Wang, Renato Mancuso, Minje Kim, Po-Liang Wu, Lu Su, Lui Sha, Tarek F. Abdelzaher
On Exploiting Structured Human Interactions to Enhance Sensing Accuracy in Cyber-physical Systems. ACM Trans. Cyber Phys. Syst. 1 (3) (2017)
Lei Jiang, Minje Kim, Wujie Wen, Danghui Wang
XNOR-POP: A processing-in-memory architecture for binary Convolutional Neural Networks in Wide-IO2 DRAMs. ISLPED (2017)
Minje Kim
Collaborative Deep Learning for speech enhancement: A run-time model selection method using autoencoders. ICASSP (2017)
Sanna Wager, Liang Chen, Minje Kim, Christopher Raphael
Towards expressive instrument synthesis through smooth frame-by-frame reconstruction: From string to woodwind. ICASSP (2017)
Lijiang Guo, Minje Kim
Bitwise Source Separation on Hashed Spectra: An Efficient Posterior Estimation Scheme Using Partial Rank Order Metrics. CoRR (2017)
Minje Kim, Paris Smaragdis
Efficient neighborhood-based topic modeling for collaborative audio enhancement on massive crowdsourced recordings. ICASSP (2016)
Minje Kim, Paris Smaragdis
Bitwise Neural Networks. CoRR (2016)
Yunlong Gao, Shaohan Hu, Renato Mancuso, Hongwei Wang, Minje Kim, Po-Liang Wu, Lu Su, Lui Sha, Tarek F. Abdelzaher
Exploiting structured human interactions to enhance estimation accuracy in cyber-physical systems. ICCPS (2015)
Minje Kim, Paris Smaragdis
Mixtures of Local Dictionaries for Unsupervised Speech Enhancement. IEEE Signal Process. Lett. 22 (3) (2015)
Minje Kim, Paris Smaragdis
Adaptive Denoising Autoencoders: A Fine-Tuning Scheme to Learn from Test Mixtures. LVA/ICA (2015)
Minje Kim, Paris Smaragdis, Gautham J. Mysore
Efficient manifold preserving audio source separation using locality sensitive hashing. ICASSP (2015)
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) (2015)
Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis
Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation. CoRR (2015)
Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis
Deep learning for monaural speech separation. ICASSP (2014)
Johannes Traa, Minje Kim, Paris Smaragdis
Phase and level difference fusion for robust multichannel source separation. ICASSP (2014)
Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis
Singing-Voice Separation from Monaural Recordings using Deep Recurrent Neural Networks. ISMIR (2014)
Ding Liu, Paris Smaragdis, Minje Kim
Experiments on deep learning for speech denoising. INTERSPEECH (2014)
Minje Kim, Paris Smaragdis
Efficient model selection for speech enhancement using a deflation method for Nonnegative Matrix Factorization. GlobalSIP (2014)
Paris Smaragdis, Minje Kim
Non-negative matrix factorization for irregularly-spaced transforms. WASPAA (2013)
Minje Kim, Paris Smaragdis
Collaborative audio enhancement using probabilistic latent component sharing. ICASSP (2013)
Minje Kim, Paris Smaragdis
Single channel source separation using smooth Nonnegative Matrix Factorization with Markov Random Fields. MLSP (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Minje Kim