Jan Melechovsky — accepted AI-conference papers

2026

SonicMaster: Towards Controllable All-in-One Music Restoration and Mastering

Jan Melechovsky, Ambuj Mehrish, Abhinaba Roy, Dorien Herremans

ICML 2026poster

Music recordings often suffer from audio quality issues such as excessive reverberation, distortion, clipping, tonal imbalances, and a narrowed stereo image, especially when created in non-professional settings without specialized equipment or expertise. These problems are typically corrected using …

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2024

Mustango: Toward Controllable Text-to-Music Generation

Jan Melechovsky, Zixun Guo, Deepanway Ghosal, Navonil Majumder, Dorien Herremans, Soujanya Poria

NAACL 2024long

The quality of the text-to-music models has reached new heights due to recent advancements in diffusion models. The controllability of various musical aspects, however, has barely been explored. In this paper, we propose Mustango: a music-domain-knowledge-inspired text-to-music system based on diffu…

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