VioPTT: Violin Technique-Aware Transcription from Synthetic Data Augmentation

• URL: http://arxiv.org/abs/2509.23759v2
• Date: Tue, 30 Sep 2025 02:44:42 GMT
• Title: VioPTT: Violin Technique-Aware Transcription from Synthetic Data Augmentation
• Abstract summary: VioPTT (Violin Playing Technique-aware Transcription) is a lightweight, end-to-end model that directly transcribes violin playing technique in addition to pitch onset and offset.<n>We release MOSA-VPT, a novel, high-quality synthetic violin playing technique dataset to circumvent the need for manually labeled annotations.
• Score: 6.024482963060964
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: While automatic music transcription is well-established in music information retrieval, most models are limited to transcribing pitch and timing information from audio, and thus omit crucial expressive and instrument-specific nuances. One example is playing technique on the violin, which affords its distinct palette of timbres for maximal emotional impact. Here, we propose VioPTT (Violin Playing Technique-aware Transcription), a lightweight, end-to-end model that directly transcribes violin playing technique in addition to pitch onset and offset. Furthermore, we release MOSA-VPT, a novel, high-quality synthetic violin playing technique dataset to circumvent the need for manually labeled annotations. Leveraging this dataset, our model demonstrated strong generalization to real-world note-level violin technique recordings in addition to achieving state-of-the-art transcription performance. To our knowledge, VioPTT is the first to jointly combine violin transcription and playing technique prediction within a unified framework.

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