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
3242014
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
3102015
Bitwise Neural Networks
M Kim, P Smaragdis
International Conference on Machine Learning (ICML) Workshop on Resource …, 2015
1722015
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
124*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
1242014
Experiments on Deep Learning for Speech Denoising
D Liu, P Smaragdis, M Kim
Annual Conference of the International Speech Communication Association …, 2014
792014
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
682010
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
582011
Mixtures of Local Dictionaries for Unsupervised Speech Enhancement
M Kim, P Smaragdis
IEEE Signal Processing Letters 22 (3), 288 - 292, 2015
402015
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
372017
Monaural music source separation: Nonnegativity, sparseness, and shift-invariance
M Kim, S Choi
International Conference on Independent Component Analysis and Signal …, 2006
372006
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
332018
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
292015
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
242013
Learning everywhere: Pervasive machine learning for effective high-performance computation
G Fox, J Glazier, JCS Kadupitiya, V Jadhao, M Kim, J Qiu, JP Sluka, ...
2019 IEEE International Parallel and Distributed Processing Symposium …, 2019
202019
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
202014
Blind rhythmic source separation: Nonnegativity and repeatability
M Kim, J Yoo, K Kang, S Choi
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
182010
Collaborative Audio Enhancement Using Probabilistic Latent Component Sharing
M Kim, P Smaragdis
IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2013
172013
Manifold Preserving Hierarchical Topic Models for Quantization and Approximation
M Kim, P Smaragdis
International Conference on Machine Learning, 2013
152013
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
142017
The system can't perform the operation now. Try again later.
Articles 1–20