# VioPTT: Violin Technique-Aware Transcription from Synthetic Data Augmentation

arXiv: https://arxiv.org/abs/2509.23759 · HTML: https://mlsanity.com/paper/2509.23759/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 15 of its 29 references that are in the map.
- First posted on arXiv 28 Sep 2025.

## Builds on (most cited first, 15 of 15)

- [Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset](https://mlsanity.com/paper/1810.12247/) (2018)
- [Onsets and Frames: Dual-Objective Piano Transcription](https://mlsanity.com/paper/1710.11153/) (2017)
- [MT3: Multi-Task Multitrack Music Transcription](https://mlsanity.com/paper/2111.03017/) (2021)
- [Creating A Multi-track Classical Musical Performance Dataset for Multimodal Music Analysis: Challenges, Insights, and Applications](https://mlsanity.com/paper/1612.08727/) (2016)
- [High-resolution Piano Transcription with Pedals by Regressing Onset and Offset Times](https://mlsanity.com/paper/2010.01815/) (2020)
- [Sequence-to-Sequence Piano Transcription with Transformers](https://mlsanity.com/paper/2107.09142/) (2021)
- [A Lightweight Instrument-Agnostic Model for Polyphonic Note Transcription and Multipitch Estimation](https://mlsanity.com/paper/2203.09893/) (2022)
- [Automatic Piano Transcription with Hierarchical Frequency-Time Transformer](https://mlsanity.com/paper/2307.04305/) (2023)
- [High Resolution Guitar Transcription via Domain Adaptation](https://mlsanity.com/paper/2402.15258/) (2024)
- [Scoring Time Intervals using Non-Hierarchical Transformer For Automatic Piano Transcription](https://mlsanity.com/paper/2404.09466/) (2024)
- [DawDreamer: Bridging the Gap Between Digital Audio Workstations and Python Interfaces](https://mlsanity.com/paper/2111.09931/) (2021)
- [Playing Technique Detection by Fusing Note Onset Information in Guzheng Performance](https://mlsanity.com/paper/2209.08774/) (2022)
- [Frame-Level Multi-Label Playing Technique Detection Using Multi-Scale Network and Self-Attention Mechanism](https://mlsanity.com/paper/2303.13272/) (2023)
- [MERTech: Instrument Playing Technique Detection Using Self-Supervised Pretrained Model With Multi-Task Finetuning](https://mlsanity.com/paper/2310.09853/) (2023)
- [MOSA: Music Motion with Semantic Annotation Dataset for Cross-Modal Music Processing](https://mlsanity.com/paper/2406.06375/) (2024)

## Built on by (most cited first, 1 of 1)

- [VIOLET: High-Fidelity Violin Synthesis with Techniques and Dynamics](https://mlsanity.com/paper/2608.07944/) (2026)

## Abstract (arXiv)

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 cascade 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.