Taejun Kim
Taejun Kim
Music and Audio Computing Lab, KAIST
Verified email at kaist.ac.kr
Title
Cited by
Cited by
Year
Sample-level cnn architectures for music auto-tagging using raw waveforms
T Kim, J Lee, J Nam
2018 IEEE international conference on acoustics, speech and signal …, 2018
622018
Comparison and analysis of samplecnn architectures for audio classification
T Kim, J Lee, J Nam
IEEE Journal of Selected Topics in Signal Processing 13 (2), 285-297, 2019
382019
Raw waveform-based audio classification using sample-level CNN architectures
J Lee, T Kim, J Park, J Nam
arXiv preprint arXiv:1712.00866, 2017
382017
Temporal feedback convolutional recurrent neural networks for keyword spotting
T Kim, J Nam
arXiv preprint arXiv:1911.01803, 2019
22019
A Computational Analysis of Real-World DJ Mixes using Mix-To-Track Subsequence Alignment
T Kim, M Choi, E Sacks, YH Yang, J Nam
arXiv preprint arXiv:2008.10267, 2020
2020
Dependence Representation Learning with Convolutional Neural Networks and 2D Histograms
T Kim, H Kim
Applied Sciences 10 (3), 955, 2020
2020
TEMPORAL FEEDBACK CONVOLUTIONAL RECURRENT NEURAL NETWORKS FOR MUSIC GENRE CLASSIFICATION
T Kim, J Nam
VentSet: Cornerstone of AI DJing
T Kim, T Kim, KM Lee
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Articles 1–8