.png){kind=icon}
返回
A Multi-Stage Algorithm for Acoustic Physical Model Parameters Estimation
.png){kind=icon}
OA
AI
DOI：10.1109/TASLP.2019.2914530.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
One of the challenges in computational acoustics is the identification of models that can simulate and predict the physical behavior of a system generating an acoustic signal. Whenever such models are used for commercial applications, an additional constraint is the time to market, making automation of the sound design process desirable. In previous works, a computational sound design approach has been proposed for the parameter estimation problem involving timbre matching by deep learning, which was applied to the synthesis of pipe organ tones. In this paper, we refine previous results by introducing the former approach in a multi-stage algorithm that also adds heuristics and a stochastic optimization method operating on perceptually motivated objective cost functions. The optimization method shows to be able to refine the first estimate given by the deep learning approach and substantially improve the objective metrics, with the additional benefit of reducing the sound design process time. Subjective listening tests are also conducted to gather additional insights on the results.
Keyword:
Physics-based acoustic modeling
neural networks
computational sound design
iterative optimization
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
I
IF:
5.1
论文数:
2.6K
被引数:
1.1W
机构
引用论文
.png){kind=icon}
分享收藏分享收藏Impairment of Photorespiratory Carbon Flow into Rubber by the Inhibition of the Glycolate Pathway in Guayule (Parthenium argentatum Gray)光呼吸碳流进入橡胶受到甘氨酸途径抑制的影响（在Guayule (Parthenium argentatum Gray)中）OAAI
OAAI分享收藏A triász és a jura időszak határán lezajlott globális krízis és annak nyomai magyarországi rétegsorokban三叠纪和白垩纪时期的全球危机及其在匈牙利地层中的痕迹
OAAI
OAAI分享收藏Induction of resistance to Clavibacter michiganensis subsp. michiganensis诱导对Clavibacter michiganensis subsp. michiganensis的抗性
PREAI
分享收藏
查看更多内容