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...

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Bibliographic Details
Main Authors Kim, Daewoong, Dong, Hao-Wen, Jeong, Dasaem
Format Journal Article
LanguageEnglish
Published 19.09.2024
Subjects
Computer Science - Artificial Intelligence
Computer Science - Learning
Computer Science - Sound
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Summary: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.
DOI:10.48550/arxiv.2409.12477