CITATION — REFERENCE ENTRY
challenges-and-method · heydari2024-beatnet-plus
- Citation
- heydari2024-beatnet-plus
- Claim ID
- challenges-and-method
- Assertion
- Real-time rhythm analysis faces three challenges: accuracy without access to future input, low latency (especially on low-powered devices), and generalization to music without strong percussive components. BeatNet+ trains an auxiliary branch on versions of the same music without drums, so the main network learns a representation less dependent on percussion, and adds adaptation strategies for isolated singing voices and non-percussive music.
- Quote
Developing real‑time music rhythm analysis systems involves addressing three key challenges: The first challenge is maintaining high accuracy while not accessing future input data, as offline models do. The second challenge is achieving low latency, especially on low‑powered devices. [...] We argue that the third challenge is generalization to various kinds of music audio. [...] The main branch is fed with full music mixtures, while the auxiliary branch is fed with the full music of the same pieces less drum tracks [...]. Another innovation is on the adaptation strategies that help develop real‑time rhythm analysis models for challenging music scenarios, including isolated singing voices and non‑percussive music.
- Quote language
- en
- Locator
- section: Abstract, 1
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