Minje Kim
Title
Cited by
Cited by
Year
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
3792014
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
3722015
Bitwise Neural Networks
M Kim, P Smaragdis
International Conference on Machine Learning (ICML) Workshop on Resource …, 2015
2092015
SINGING-VOICE SEPARATION USING DEEP RECURRENT NEURAL NETWORKS
PS Huang, M Kim, M Hasegawa-Johnson, P Smaragdis
International Society for Music Information Retrieval Conference (ISMIR), 2014
140*2014
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
1402014
Experiments on Deep Learning for Speech Denoising
D Liu, P Smaragdis, M Kim
Annual Conference of the International Speech Communication Association …, 2014
942014
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
662010
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
582018
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
572011
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
482017
Mixtures of Local Dictionaries for Unsupervised Speech Enhancement
M Kim, P Smaragdis
IEEE Signal Processing Letters 22 (3), 288 - 292, 2015
442015
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
362015
Monaural music source separation: Nonnegativity, sparseness, and shift-invariance
M Kim, S Choi
International Conference on Independent Component Analysis and Signal …, 2006
362006
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
272019
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
252013
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
212014
AutoQ: Automated Kernel-Wise Neural Network Quantization
Q Lou, F Guo, L Liu, M Kim, L Jiang
International Conference on Learning Representations, 2019
19*2019
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
192012
COLLABORATIVE DEEP LEARNING FOR SPEECH ENHANCEMENT: A RUN-TIME MODEL SELECTION METHOD USING AUTOENCODERS
M Kim
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2017
172017
Collaborative Audio Enhancement Using Probabilistic Latent Component Sharing
M Kim, P Smaragdis
IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2013
172013
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