1 citations · 3 across the 15 of their papers we have counts for
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Video-Foley: Two-Stage Video-To-Sound Generation via Temporal Event Condition For Foley Sound
Junwon Lee, Jaekwon Im, Dabin Kim +1
Foley sound synthesis is crucial for multimedia production, enhancing user experience by synchronizing audio and video both temporally and semantically. Recent studies on automatin…
CONMOD: Controllable Neural Frame-based Modulation Effects
Gyubin Lee, Hounsu Kim, Junwon Lee +1
Deep learning models have seen widespread use in modelling LFO-driven audio effects, such as phaser and flanger. Although existing neural architectures exhibit high-quality emulati…
Expressive Acoustic Guitar Sound Synthesis with an Instrument-Specific Input Representation and Diffusion Outpainting
Hounsu Kim, Soonbeom Choi, Juhan Nam
Synthesizing performing guitar sound is a highly challenging task due to the polyphony and high variability in expression. Recently, deep generative models have shown promising res…
T-FOLEY: A Controllable Waveform-Domain Diffusion Model for Temporal-Event-Guided Foley Sound Synthesis
Yoonjin Chung, Junwon Lee, Juhan Nam
Foley sound, audio content inserted synchronously with videos, plays a critical role in the user experience of multimedia content. Recently, there has been active research in Foley…
DIFFRENT: A Diffusion Model for Recording Environment Transfer of Speech
Jaekwon Im, Juhan Nam
Properly setting up recording conditions, including microphone type and placement, room acoustics, and ambient noise, is essential to obtaining the desired acoustic characteristics…