1 citations · 1 across the 3 of their papers we have counts for
3 papers
eess.AS2023★ 1 cited
A Demand-Driven Perspective on Generative Audio AI
Sangshin Oh, Minsung Kang, Hyeongi Moon +2
To achieve successful deployment of AI research, it is crucial to understand the demands of the industry. In this paper, we present the results of a survey conducted with professio…
eess.AS2023
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…
cs.SD2022
MedleyVox: An Evaluation Dataset for Multiple Singing Voices Separation
Chang-Bin Jeon, Hyeongi Moon, Keunwoo Choi +2
Separation of multiple singing voices into each voice is a rarely studied area in music source separation research. The absence of a benchmark dataset has hindered its progress. In…