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Kyogu Lee
Tytuł
Cytowane przez
Cytowane przez
Rok
Deep convolutional neural networks for predominant instrument recognition in polyphonic music
Y Han, J Kim, K Lee
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (1), 208-221, 2017
1952017
Acoustic chord transcription and key extraction from audio using key-dependent HMMs trained on synthesized audio
K Lee, M Slaney
IEEE Transactions on Audio, Speech, and Language Processing 16 (2), 291-301, 2008
1872008
Automatic Chord Recognition from Audio Using Enhanced Pitch Class Profile.
K Lee
ICMC, 2006
1512006
Phase-aware speech enhancement with deep complex u-net
HS Choi, JH Kim, J Huh, A Kim, JW Ha, K Lee
International Conference on Learning Representations, 2018
1502018
Convolutional neural networks with binaural representations and background subtraction for acoustic scene classification
Y Han, J Park, K Lee
the Detection and Classification of Acoustic Scenes and Events (DCASE), 1-5, 2017
1382017
Rare sound event detection using 1D convolutional recurrent neural networks
H Lim, J Park, K Lee, Y Han
Proceedings of the Detection and Classification of Acoustic Scenes and …, 2017
1272017
Methods and apparatus for determining a mood profile associated with media data
CW Chen, K Lee, PC DiMaria, MK Cremer
US Patent 8,805,854, 2014
1112014
METHODS AND APPARATUS FOR DETERMINING A MOOD PROFILE ASSOCIATED WITH MEDIA DATA
CW Chen, K Lee, PC DiMaria, MK Cremer
US Patent App. 12/489,861, 2009
111*2009
Escaping your comfort zone: A graph-based recommender system for finding novel recommendations among relevant items
K Lee, K Lee
Expert Systems with Applications 42 (10), 4851-4858, 2015
782015
Ensemble of convolutional neural networks for weakly-supervised sound event detection using multiple scale input
D Lee, S Lee, Y Han, K Lee
Detection and Classification of Acoustic Scenes and Events (DCASE), 2017
722017
A Unified System for Chord Transcription and Key Extraction Using Hidden Markov Models.
K Lee, M Slaney
ISMIR, 245-250, 2007
702007
Automatic Chord Recognition from Audio Using a HMM with Supervised Learning.
K Lee, M Slaney
ISMIR, 133-137, 2006
632006
Apparatus and method for determining a prominent tempo of an audio work
CW Chen, K Lee, PC DiMaria, MK Cremer
US Patent 8,071,869, 2011
592011
Apparatus and method for determining a prominent tempo of an audio work
CW Chen, K Lee, PC DiMaria, MK Cremer
US Patent 8,071,869, 2011
592011
Apparatus and method for determining a prominent tempo of an audio work
CW Chen, K Lee, PC Dimaria, MK Cremer
WO Patent App. PCT/US2010/033,753, 2010
592010
Music recommendation using text analysis on song requests to radio stations
Z Hyung, K Lee, K Lee
Expert Systems with Applications 41 (5), 2608-2618, 2014
582014
Adversarially Trained End-to-end Korean Singing Voice Synthesis System
J Lee, HS Choi, CB Jeon, J Koo, K Lee
arXiv preprint arXiv:1908.01919, 2019
552019
Identifying cover songs from audio using harmonic representation
K Lee
MIREX task on Audio Cover Song Identification, 2006
552006
Audio event detection using multiple-input convolutional neural network
IY Jeong, S Lee, Y Han, K Lee
Detection and Classification of Acoustic Scenes and Events (DCASE), 2017
532017
Learning Temporal Features Using a Deep Neural Network and its Application to Music Genre Classification.
IY Jeong, K Lee
ISMIR, 434-440, 2016
502016
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