45 citations · 153 across the 16 of their papers we have counts for
20 papers
Music Playlist Title Generation: A Machine-Translation Approach
SeungHeon Doh, Junwon Lee, Juhan Nam
We propose a machine-translation approach to automatically generate a playlist title from a set of music tracks. We take a sequence of track IDs as input and a sequence of words in…
EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation
Hsiao-Tzu Hung, Joann Ching, Seungheon Doh +3
While there are many music datasets with emotion labels in the literature, they cannot be used for research on symbolic-domain music analysis or generation, as there are usually au…
PocketVAE: A Two-step Model for Groove Generation and Control
Kyungyun Lee, Wonil Kim, Juhan Nam
Creating a good drum track to imitate a skilled performer in digital audio workstations (DAWs) can be a time-consuming process, especially for those unfamiliar with drums. In this…
Polyphonic Piano Transcription Using Autoregressive Multi-State Note Model
Taegyun Kwon, Dasaem Jeong, Juhan Nam
Recent advances in polyphonic piano transcription have been made primarily by a deliberate design of neural network architectures that detect different note states such as onset or…
A Computational Analysis of Real-World DJ Mixes using Mix-To-Track Subsequence Alignment
Taejun Kim, Minsuk Choi, Evan Sacks +2
A DJ mix is a sequence of music tracks concatenated seamlessly, typically rendered for audiences in a live setting by a DJ on stage. As a DJ mix is produced in a studio or the live…
Semi-supervised learning using teacher-student models for vocal melody extraction
Sangeun Kum, Jing-Hua Lin, Li Su +1
The lack of labeled data is a major obstacle in many music information retrieval tasks such as melody extraction, where labeling is extremely laborious or costly. Semi-supervised l…