Taejun Kim
Taejun Kim
Music and Audio Computing Lab, KAIST
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Cited by
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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
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
Raw waveform-based audio classification using sample-level CNN architectures
J Lee, T Kim, J Park, J Nam
2017 Machine Learning for Audio Signal Processing Workshop, Neural …, 2017
Temporal Feedback Convolutional Recurrent Neural Networks for Speech Command Recognition
T Kim, J Nam
2022 Asia-Pacific Signal and Information Processing Association Annual …, 2022
A computational analysis of real-world DJ mixes using mix-to-track subsequence alignment
T Kim, M Choi, E Sacks, YH Yang, J Nam
Proceedings of the 21st International Society for Music Information …, 2020
Reverse-engineering the transition regions of real-world DJ mixes using sub-band analysis with convex optimization
T Kim, YH Yang, J Nam
NIME 2021, 2021
Joint Estimation of Fader and Equalizer Gains of DJ Mixers Using Convex Optimization
T Kim, YH Yang, J Nam
25th International Conference on Digital Audio Effects, DAFx 2022, 312-319, 2022
All-in-One Metrical and Functional Structure Analysis with Neighborhood Attentions on Demixed Audio
T Kim, J Nam
2023 IEEE Workshop on Applications of Signal Processing to Audio and …, 2023
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