Recently, generative neural synthesizers have enabled zero-shot instrument cloning from reference recordings and timbre generation from text prompts. However, existing systems generate complete audio segments offline, precluding their use as playable instruments. We present LiveSynth, a streaming neural synthesizer wit...
We introduce Non-musical Audio to Symbolic Music Transformation (NASMT), a novel task that converts non-musical audio into symbolic music representations. Unlike automatic music transcription, which assumes musical input and a unique correct score, NASMT is inherently one-to-many and requires evaluation along two axes:...
This framework produces both a transformation embedding and a processed-audio embedding, and it finds that the two play complementary roles: distance-based tasks favor the former, while probe-based tasks favor the latter.
Sungho Lee, Marco A. Martínez-Ramírez, Junghyun Koo et al.· 0 citations
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