ViolinDiff: Enhancing Expressive Violin Synthesis with Pitch Bend Conditioning
원문 초록
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.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Fast Differentiable Modal Simulation of Non-linear Strings, Membranes, and Plates
Generative diffusion model with inverse renormalization group flows
MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis
OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows
Where are we in audio deepfake detection? A systematic analysis over generative and detection models
LiteFocus: Accelerated Diffusion Inference for Long Audio Synthesis
토론
이 논문과 연결된 포럼 글이 아직 없습니다.