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Minje Kim
Minje Kim
Подтвержден адрес электронной почты в домене illinois.edu - Главная страница
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Процитировано
Процитировано
Год
Joint optimization of masks and deep recurrent neural networks for monaural source separation
PS Huang, M Kim, M Hasegawa-Johnson, P Smaragdis
IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (12 …, 2015
5332015
Deep learning for monaural speech separation
PS Huang, M Kim, M Hasegawa-Johnson, P Smaragdis
IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2014
5332014
Bitwise Neural Networks
M Kim, P Smaragdis
International Conference on Machine Learning (ICML) Workshop on Resource …, 2015
3052015
SINGING-VOICE SEPARATION FROM MONAURAL RECORDINGS USING DEEP RECURRENT NEURAL NETWORKS
PS Huang, M Kim, M Hasegawa-Johnson, P Smaragdis
International Society for Music Information Retrieval Conference, 2014
1882014
Experiments on Deep Learning for Speech Denoising
D Liu, P Smaragdis, M Kim
Annual Conference of the International Speech Communication Association …, 2014
1522014
DeepPicar: A Low-cost Deep Neural Network-based Autonomous Car
MG Bechtel, E McEllhiney, M Kim, H Yun
IEEE International Conference on Embedded and Real-Time Computing Systems …, 2018
1312018
AutoQ: Automated Kernel-Wise Neural Network Quantization
Q Lou, F Guo, L Liu, M Kim, L Jiang
International Conference on Learning Representations, 2019
108*2019
XNOR-pop: A processing-in-memory architecture for binary convolutional neural networks in wide-io2 drams
L Jiang, M Kim, W Wen, D Wang
2017 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2017
782017
Nonnegative matrix partial co-factorization for drum source separation
J Yoo, M Kim, K Kang, S Choi
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
752010
Nonnegative Matrix Partial Co-Factorization for Spectral and Temporal Drum Source Separation
M Kim, J Yoo, K Kang, S Choi
Selected Topics in Signal Processing, IEEE Journal of 5 (6), 1192-1204, 2011
602011
Learning everywhere: Pervasive machine learning for effective high-performance computation
G Fox, JA Glazier, JCS Kadupitiya, V Jadhao, M Kim, J Qiu, JP Sluka, ...
2019 IEEE International Parallel and Distributed Processing Symposium …, 2019
592019
Mixtures of Local Dictionaries for Unsupervised Speech Enhancement
M Kim, P Smaragdis
IEEE Signal Processing Letters 22 (3), 288 - 292, 2015
482015
Cascaded Cross-Module Residual Learning towards Lightweight End-to-End Speech Coding
K Zhen, J Sung, MS Lee, S Beack, M Kim
Interspeech 2019, 2019
422019
Adaptive Denoising Autoencoders: A Fine-tuning Scheme to Learn from Test Mixtures
M Kim, P Smaragdis
International Conference on Latent Variable Analysis and Signal Separation, 2015
412015
LPC residual signal encoding/decoding apparatus of modified discrete cosine transform (MDCT)-based unified voice/audio encoding device
SK Beack, TJ Lee, MJ Kim, K Kang, DY Jang, JW Hong, SEO Jeongil, ...
US Patent 8,898,059, 2014
382014
Integrated voice/audio encoding/decoding device and method whereby the overlap region of a window is adjusted based on the transition interval
MJ Kim, SK Beack, TJ Lee, KO Kang, SEO Jeongil, JW Kim, JW Hong, ...
US Patent App. 13/502,025, 2012
372012
Monaural music source separation: Nonnegativity, sparseness, and shift-invariance
M Kim, S Choi
International Conference on Independent Component Analysis and Signal …, 2006
372006
Apparatus for encoding and decoding of integrated speech and audio
TJ Lee, SK Baek, MJ Kim, DY Jang, SEO Jeongil, K Kang, JW Hong, ...
US Patent 8,903,720, 2014
332014
Efficient Personalized Speech Enhancement through Self-Supervised Learning
A Sivaraman, M Kim
IEEE Journal of Selected Topics in Signal Processing 16 (6), 1342 - 1356, 2022
30*2022
Single Channel Source Separation Using Smooth Nonnegative Matrix Factorization with Markov Random Fields
M Kim, P Smaragdis
IEEE International Workshop on Machine Learning for Signal Processing, 2013
302013
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