期刊
APPLIED SCIENCES-BASEL
卷 11, 期 1, 页码 -出版社
MDPI
DOI: 10.3390/app11010445
关键词
sound source localization; SRP-PHAT; density peak clustering; offline database
类别
资金
- Scientific research project of the Hunan Education Department [20C1512]
This article proposes an improved sound source localization method ODB-SRP-PHAT, which first determines possible sound source positions through density peak clustering before real-time localization and stores them in an online database, reducing computational load significantly while maintaining high localization accuracy.
Sound source localization has been increasingly used recently. Among the existing techniques of sound source localization, the steered response power-phase transform (SRP-PHAT) exhibits considerable advantages regarding anti-noise and anti-reverberation. When applied in real-time situations, however, the heavy computational load makes it impossible to localize the sound source in a reasonable time since SRP-PHAT employs a grid search scheme. To solve the problem, an improved procedure called ODB-SRP-PHAT, i.e., steered response power and phase transformation with an offline database (ODB), was proposed by the authors. The basic idea of ODB-SRP-PHAT is to determine the possible sound source positions using SRP-PHAT and density peak clustering before real-time localization and store the identified positions in an ODB. Then, at the online positioning stage, only the power values of the positions in the ODB will be calculated. When used in real-time monitoring, e.g., locating the speaker in a video conference, the computational load of ODB-SRP-PHAT is significantly smaller than that of SRP-PHAT. Simulations and experiments under a real environment verified the high localization accuracy with a small computational load of ODB-SRP-PHAT. In addition, the advantages of anti-noise and anti-reverberation remained. The suggested procedure displayed good applicability in a real environment.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据