9 citations · 25 across the 6 of their papers we have counts for
6 papers
FALL-E: A Foley Sound Synthesis Model and Strategies
Minsung Kang, Sangshin Oh, Hyeongi Moon +2
This paper introduces FALL-E, a foley synthesis system and its training/inference strategies. The FALL-E model employs a cascaded approach comprising low-resolution spectrogram gen…
Room Impulse Response Estimation in a Multiple Source Environment
Kyungyun Lee, Jeonghun Seo, Keunwoo Choi +2
In real-world acoustic scenarios, there often are multiple sound sources present in a room. These sources are situated in various locations and produce sounds that reach the listen…
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…
Learning a Joint Embedding Space of Monophonic and Mixed Music Signals for Singing Voice
Kyungyun Lee, Juhan Nam
Previous approaches in singer identification have used one of monophonic vocal tracks or mixed tracks containing multiple instruments, leaving a semantic gap between these two doma…
Deep Content-User Embedding Model for Music Recommendation
Jongpil Lee, Kyungyun Lee, Jiyoung Park +2
Recently deep learning based recommendation systems have been actively explored to solve the cold-start problem using a hybrid approach. However, the majority of previous studies p…
Revisiting Singing Voice Detection: a Quantitative Review and the Future Outlook
Kyungyun Lee, Keunwoo Choi, Juhan Nam
Since the vocal component plays a crucial role in popular music, singing voice detection has been an active research topic in music information retrieval. Although several proposed…