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SymphonyGen is a symbolic music generation model for orchestral composition. It works in two stages: it first generates a harmony skeleton, then produces the full orchestration conditioned on that skeleton. The demo page shows examples starting from major and minor chords.
It supports two tasks: orchestral composition from scratch, and orchestral arrangement, where harmony skeletons analysed from excerpts of the SymphonyNet Dataset (validation split) are re-orchestrated. According to the demo page, outputs are reinforced with a CLaMP 3 score, and with track density for the arrangement task. Users can supply custom or extracted harmony skeletons, per a YouTube creator's summary. The same summary says the models are open source and under 5 MB, but no repository or weights link was found in the provided material, so this is unverified.
The demo page compares SymphonyGen with baselines used in subjective listening tests: SymphonyNet, METEOR and NotaGen-X, plus dataset excerpts. The vendor or authors, release date, license and paper were not identified in the provided pages. Currently it appears to be a research demo rather than a hosted product.
Watch the moment: the exact second top creators show it. Videos load only when you press play, via youtube-nocookie.com.
Generates full orchestral music by first producing a harmony skeleton then expanding it into a complete arrangement. Accepts custom or extracted harmony skeletons; open-source models under 5 MB.
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