Music audio generation spans instrumental clips, full songs with vocals, edits of existing recordings, and systems that play alongside a musician in real time. This monograph explains the methods behind these systems for readers familiar with neural-network training who are new to music generation. It introduces neural...
M. Modrzejewski, Joanna Kurkowska, Dorien Herremans· 0 citations
Zero-shot text-to-speech (TTS) can reproduce an unseen speaker from a short reference recording, but typically entangles speaker identity and accent within the same reference. We introduce DEFINE, an end-to-end framework that decouples these factors by conditioning speaker identity and target accent on separate audio e...
Ambuj Mehrish, Abhinaba Roy, Alex Ivanov et al.· 0 citations
This paper introduces SonicMaster, the first unified generative model for music restoration and mastering that addresses a broad spectrum of audio artifacts with text-based control and significantly improves sound quality across all artifact categories.
J. Melechovský, Ambuj Mehrish, Dorien Herremans· arXiv.org· 11 citations· ⚡1
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