ViolinDiff: Enhancing Expressive Violin Synthesis with Pitch Bend Conditioning

Modeling the natural contour of fundamental frequency (F0) plays a critical role in music audio synthesis. However, transcribing and managing multiple F0 contours in polyphonic music is challenging, and explicit F0 contour modeling has not yet been explored for polyphonic instrumental synthesis. In this paper, we present ViolinDiff, a two-stage diffusion-based synthesis framework. For a given violin MIDI file, the first stage estimates the F0 contour as pitch bend information, and the second stage generates mel spectrogram incorporating these expressive details. The quantitative metrics and listening test results show that the proposed model generates more realistic violin sounds than the model without explicit pitch bend modeling. Audio samples are available online: daewoung.github.io/ViolinDiff-Demo.

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Publication Details

Published
2025-03-12
DOI
https://doi.org/10.1109/icassp49660.2025.10890613
Citations
1
Primary Topic
Music Technology and Sound Studies
Type
article
Field-Weighted Citation Impact
1.28

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article

ViolinDiff: Enhancing Expressive Violin Synthesis with Pitch Bend Conditioning

Hao‐Wen Dong, Dasaem Jeong, Daewoong Kim
1 citations
Music Technology and Sound Studies
1.28
article

ViolinDiff: Enhancing Expressive Violin Synthesis with Pitch Bend Conditioning

Hao‐Wen Dong, Dasaem Jeong, Daewoong Kim
article en
1 citations

Abstract

Modeling the natural contour of fundamental frequency (F0) plays a critical role in music audio synthesis. However, transcribing and managing multiple F0 contours in polyphonic music is challenging, and explicit F0 contour modeling has not yet been explored for polyphonic instrumental synthesis. In this paper, we present ViolinDiff, a two-stage diffusion-based synthesis framework. For a given violin MIDI file, the first stage estimates the F0 contour as pitch bend information, and the second stage generates mel spectrogram incorporating these expressive details. The quantitative metrics and listening test results show that the proposed model generates more realistic violin sounds than the model without explicit pitch bend modeling. Audio samples are available online: daewoung.github.io/ViolinDiff-Demo.

Sogang University (KR), University of Michigan (US)
National Research Foundation of Korea
Openalex Percentile: Top 22%
Music Technology and Sound Studies
1.28
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