kokieto/NovelSep
audio-to-audio model by kokieto
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Model card & documentation
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NovelSep: Bridging Optimization-Based Separation and Deep Neural Refinement for Novelty Detection with Listenable Explanations Koki Shoda, Jun Younes Louhi Kasahara, Qi An, and Atsushi Yamashita — The University of Tokyo. Code and installation · Project page and audio examples NovelSep separates an observed recording into normal and novel sound components. A normal dictionary first produces an optimization-based separation. NovelSep uses the encoded components to initialize a learned flow that refines both estimates. The energy of the estimated novel component provides the novelty score. The accompanying Normal Region Exclusion geometry filters training sound candidates that are too close to the normal reference region; this filtering stage is separate from inference. This repository contains the learned adapters and supporting artifacts used in the accompanying research manuscript. Each environment contains: The base SAM-Audio weights are downloaded separately from Meta's model repository. Access to that repository and agreement to its terms may be required.…
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Model overview
kokieto/NovelSep is a audio-to-audio model repository published by kokieto on Hugging Face. A library was not reported.
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Model facts
- Task
- audio-to-audio
- Library
- Not reported
- Recent downloads (30 days)
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- Not gated by Hugging Face
- Created
- 2026-09-28T06:25:30.000Z
- Last modified
- 2026-09-28T06:25:42.000Z
Compatibility and lineage
Reported languages: en
Reported base models: facebook/sam-audio-small
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-28T06:38:00.545Z. Daily imports are snapshots, not real-time monitoring.
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