| 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 | 111 | 2018 |
| 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 | 93 | 2017 |
| 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 | 90 | 2019 |
| Temporal Feedback Convolutional Recurrent Neural Networks for Speech Command Recognition T Kim, J Nam 2022 Asia-Pacific Signal and Information Processing Association Annual …, 2022 | 8* | 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 | 8 | 2020 |
| 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 | 3 | 2023 |
| 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 | 2 | 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 | 1 | 2022 |
Juhan NamKAISTkaist.ac.kr의 이메일 확인됨
