MuScriptor: An Open Model for Multi-Instrument Music Transcription

• URL: http://arxiv.org/abs/2607.08168v1
• Date: Thu, 09 Jul 2026 07:12:30 GMT
• Title: MuScriptor: An Open Model for Multi-Instrument Music Transcription
• Abstract summary: We analyze the effectiveness of synthetic data for pre-training while combining it with fine-tuning on real music audio and post-training using reinforcement learning.<n>We release MuScriptor, an open-weight multi-instrument music transcription model that works on real-world music recordings from across a diverse range of musical genres.
• Score: 49.08645057428182
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Existing methods for automatic music transcription are often limited to single-instrument recordings or fail on complex, real music mixes. Although previous work utilizes synthetic training data, the resulting models generalize poorly, leading to largely unusable transcription output in realistic, multi-instrument settings. In this work, we analyze the effectiveness of synthetic data for pre-training while combining it with fine-tuning on real music audio and post-training using reinforcement learning. We further introduce conditioning on instrument presence to customize transcriptions. Finally, we release MuScriptor, an open-weight multi-instrument music transcription model that works on real-world music recordings from across a diverse range of musical genres.

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