Sangeun Kum
Sangeun Kum
Neutune
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Melody Extraction on Vocal Segments Using Multi-Column Deep Neural Networks
S Kum, C Oh, J Nam
International Society for Music Information Retrieval (ISMIR), 819-825, 2016
512016
Joint detection and classification of singing voice melody using convolutional recurrent neural networks
S Kum, J Nam
Applied Sciences 9 (7), 1324, 2019
232019
COMBINING MULTI-SCALE FEATURES USING SAMPLE-LEVEL DEEP CONVOLUTIONAL NEURAL NETWORKS FOR WEAKLY SUPERVISED SOUND EVENT DETECTION
J Lee, J Park, S Kum, Y Jeong, J Nam
Detection and Classification of Acoustic Scenes and Events (DCASE) 2017, 2017
202017
A hybrid of deep audio feature and i-vector for artist recognition
J Park, D Kim, J Lee, S Kum, J Nam
arXiv preprint arXiv:1807.09208, 2018
52018
Classification-Based Singing Melody Extraction Using Deep Convolutional Neural Networks
S Kum, J Nam
Preprints, 2017
52017
Semi-supervised learning using teacher-student models for vocal melody extraction
S Kum, JH Lin, L Su, J Nam
International Society for Music Information Retrieval (ISMIR), 2020
42020
BUILDING K-POP SINGING VOICE TAG DATASET: A PROGRESS REPORT
KHL Kim, S Kum, CL Park, J Lee, J Park, J Nam
International Society for Music Information Retrieval (ISMIR), LBD, 2017
32017
Semantic Tagging of Singing Voices in Popular Music Recordings
KL Kim, J Lee, S Kum, CL Park, J Nam
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 1656-1668, 2020
12020
Gamification Can Affect the Sustainability of The Wearable Device for Physical Activity?: User Case Study
S Lee, J Lee, S Kum, YY Doh
한국 HCI 학회 학술대회, 451-455, 2016
2016
MELODY EXTRACTION USING MULTI-COLUMN DEEP NEURAL NETWORKS (MIREX 2016)
S Kum, C Oh, J Nam
MIREX2016 28 (2), 34-48, 2016
2016
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