1 citations · 2 across the 7 of their papers we have counts for
7 papers
Multimodal Video-to-Music Recommendation via Semantic Retrieval and Temporal Reranking
Seungheon Doh, Minhee Lee, Sangmoon Lee +2
We present VTMR, a two-stage framework for Video-To-Music Recommendation. In Stage~1, VTMR aligns comprehensive video and music signals in a joint audio-visual-text representation…
KAD: No More FAD! An Effective and Efficient Evaluation Metric for Audio Generation
Yoonjin Chung, Pilsun Eu, Junwon Lee +3
Although being widely adopted for evaluating generated audio signals, the Fréchet Audio Distance (FAD) suffers from significant limitations, including reliance on Gaussian assumpti…
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…
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…
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…
GSEP: A robust vocal and accompaniment separation system using gated CBHG module and loudness normalization
Soochul Park, Ben Sangbae Chon
In the field of audio signal processing research, source separation has been a popular research topic for a long time and the recent adoption of the deep neural networks have shown…