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Minje Kim
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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
4572015
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
4482014
Bitwise Neural Networks
M Kim, P Smaragdis
International Conference on Machine Learning (ICML) Workshop on Resource …, 2015
2652015
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
1592014
Experiments on Deep Learning for Speech Denoising
D Liu, P Smaragdis, M Kim
Annual Conference of the International Speech Communication Association …, 2014
1192014
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
932018
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
712010
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
592017
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
592011
AutoQ: Automated Kernel-Wise Neural Network Quantization
Q Lou, F Guo, L Liu, M Kim, L Jiang
International Conference on Learning Representations, 2019
48*2019
Mixtures of Local Dictionaries for Unsupervised Speech Enhancement
M Kim, P Smaragdis
IEEE Signal Processing Letters 22 (3), 288 - 292, 2015
452015
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
432019
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
382015
Monaural music source separation: Nonnegativity, sparseness, and shift-invariance
M Kim, S Choi
International Conference on Independent Component Analysis and Signal …, 2006
372006
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
262012
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
252017
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
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
242014
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
242014
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
222019
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학술자료 1–20