.png){kind=icon}
返回
Sound source localization for source inside a structure using Ac-CycleGAN
.png){kind=icon}
OA
AI
DOI：10.1016/j.jsv.2024.118616.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We propose a sound source localization (SSL) method called Ac-CycleGAN, which estimates the position of the sound source inside a structure using the frequency spectrum of the accelerometers (FSAs) observed on the exterior of the structure. Accurately localizing sound sources is crucial for noise mitigation in the development of automobiles, machinery, and home appliances. However, SSL inside a structure from its exterior has its limitations, representing a significant gap in reducing product noise levels. To solve this challenge, the Ac-CycleGAN learns under unpaired data conditions using a small amount of real-environment data and a large amount of simulated data. The Ac-CycleGAN generator contributes to the bidirectional transformation of FSAs across both domains. The discriminator of the Ac-CycleGAN model distinguishes between the transformed and the actual data, while simultaneously predicting the location of the sound source. The proposed model improved SSL performance with an increase in real data and achieves an accuracy exceeding 90% when trained with 80% of the real data (12.5% of the simulation data). Furthermore, despite the imperfections in the domain transformation process by the Ac-CycleGAN generator, it becomes apparent that the discriminator selectively utilizes only the features with a small transformation error to SSL.
Keyword:
Sound-source localization
Acoustic-structure coupling
Computer-aided engineering
Domain adaptation
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
IF:
4.9
论文数:
1.7W
被引数:
4.8W
机构
引用论文
.png){kind=icon}
The Effect of 40-Hz Light Therapy on Amyloid Load in Patients with Prodromal and Clinical Alzheimer’s Disease40Hz光疗法对前驱和临床阿尔茨海默病患者淀粉样蛋白负荷的影响OAAI
OAAI分享收藏
查看更多内容