.png){kind=icon}
返回
Fast Sound Source Localization Using Two-Level Search Space Clustering
.png){kind=icon}
PRE
AI
DOI：10.1109/TCYB.2015.2391252.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Steered response power phase transform (SRP-PHAT) is a method that is widely used for robust sound source localization (SSL). However, since SRP-PHAT searches over a large number of candidate locations, it is too slow to run in real-time for large-scale microphone array systems. In this paper, we propose a robust two-level search space clustering method to speed-up SRP-PHAT-based SSL. The proposed method divides the candidate locations of the sound source into a set of groups and finds a small number of groups that are likely to contain the maximum power location. By searching within the small number of groups, the computational costs are reduced by 61.8% compared to a previously proposed method without loss of accuracy.
Keyword:
Search space clustering (SSC)
sound source localization (SSL)
steered response power phase transform (SRP-PHAT)
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:
10.5
论文数:
1.1W
被引数:
5.0W
机构
引用论文
Sound Source Localization for HRI Using FOC-Based Time Difference Feature and Spatial Grid Matching
PREAI
分享收藏分享收藏Transfer hydrogenation of nitroarenes using cellulose filter paper-supported Pd/C by filtration as well as sealed methods.png)
RSC Advances
OAAI
RSC AdvancesIF0
OAAI分享收藏Kinetic and Equilibrium Studies on the Adsorption of Crystal Violet Dye using Kaolin as an Adsorbent
PREAI
分享收藏
查看更多内容