论文标题
HPRNET：将小提琴的残余噪声建模纳入变异参数合成器中
HpRNet : Incorporating Residual Noise Modeling for Violin in a Variational Parametric Synthesizer
论文作者
论文摘要
在过去的几年中，音频合成的生成模型一直在增长。最近，已经合并了音频信号的参数表示，以促进对合成输出的更好的音乐控制。在这项工作中，我们研究了小提琴色调的参数模型，特别是残留弓噪声的生成建模，以提高自然色调质量。为了协助我们的分析，我们介绍了一个carnatic小提琴录音的数据集，其中弓噪声是在特定手势环境中较高音调的演奏风格的组成部分。我们通过观察到持续声音的光谱信封的变化编码过程中得出的潜在空间来获得有关信号的每个谐波和残差组件及其相互依赖性的见解。
Generative Models for Audio Synthesis have been gaining momentum in the last few years. More recently, parametric representations of the audio signal have been incorporated to facilitate better musical control of the synthesized output. In this work, we investigate a parametric model for violin tones, in particular the generative modeling of the residual bow noise to make for more natural tone quality. To aid in our analysis, we introduce a dataset of Carnatic Violin Recordings where bow noise is an integral part of the playing style of higher pitched notes in specific gestural contexts. We obtain insights about each of the harmonic and residual components of the signal, as well as their interdependence, via observations on the latent space derived in the course of variational encoding of the spectral envelopes of the sustained sounds.
