Junghyun
Koo
Profile
Junghyun (Tony) Koo is a research scientist on the AI for Creators team at Sony AI. He received his Ph.D. from Seoul National University in South Korea, with a dissertation focused on applying deep neural networks for style transfer of audio effects, particularly in music post-production tasks such as mixing and mastering. During his Ph.D., Tony gained industry experience through research internships at Mitsubishi Electric Research Laboratories (MERL), Sony Tokyo R&D Center, and Supertone. He holds a Bachelor of Science in Information and Communication Engineering from Inha University in South Korea.
Message
My focus is on developing controllable technologies that simplify music production processes. I’m passionate about creating tools that remove the technical barriers in music production, allowing creators to express their creativity.
Publications
Recent state-of-the-art neural audio compression models have progressively adopted residual vector quantization (RVQ). Despite this success, these models employ a fixed number of codebooks per frame, which can be suboptimal in terms of rate-distortion tradeoff, particularly …
Music timbre transfer is a challenging task that involves modifying the timbral characteristics of an audio signal while preserving its melodic structure. In this paper, we propose a novel method based on dual diffusion bridges, trained using the CocoChorales Dataset, which …
Recent state-of-the-art neural audio compression models have progressively adopted residual vector quantization (RVQ). Despite this success, these models employ a fixed number of codebooks per frame, which can be suboptimal in terms of rate-distortion tradeoff, particularly …
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