Multiple Sound Sources Localization with Frame-by-Frame Component Removal of Statistically Dominant Source

Jia, Maoshen; Wu, Yuxuan; Bao, Changchun; Wang, Jing

doi:10.3390/s18113613

Open AccessArticle

Multiple Sound Sources Localization with Frame-by-Frame Component Removal of Statistically Dominant Source

¹

Beijing Key Laboratory of Computational Intelligence and Intelligent System, Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China

²

School of Information and Electronic, Beijing Institute of Technology, Beijing 100081, China

^*

Authors to whom correspondence should be addressed.

Sensors 2018, 18(11), 3613; https://doi.org/10.3390/s18113613

Submission received: 13 September 2018 / Revised: 21 October 2018 / Accepted: 23 October 2018 / Published: 24 October 2018

(This article belongs to the Special Issue Novel Modeling, Signal Processing and Machine Learning Techniques for Sensor Data)

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Abstract

Multiple sound sources localization is a hot topic in audio signal processing and is widely utilized in many application areas. This paper proposed a multiple sound sources localization method based on a statistically dominant source component removal (SDSCR) algorithm by soundfield microphone. The existence of the statistically weak source (SWS) among soundfield microphone signals is validated by statistical analysis. The SDSCR algorithm with joint an intra-frame and inter-frame statistically dominant source (SDS) discriminations is designed to remove the component of SDS while reserve the SWS component. The degradation of localization accuracy caused by the existence of the SWS is resolved using the SDSCR algorithm. The objective evaluation of the proposed method is conducted in simulated and real environments. The results show that the proposed method achieves a better performance compared with the conventional SSZ-based method both in sources localization and counting.

Keywords: multiple sound sources localization; direction of arrival estimation; sparsity; soundfield microphone

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MDPI and ACS Style

Jia, M.; Wu, Y.; Bao, C.; Wang, J. Multiple Sound Sources Localization with Frame-by-Frame Component Removal of Statistically Dominant Source. Sensors 2018, 18, 3613. https://doi.org/10.3390/s18113613

AMA Style

Jia M, Wu Y, Bao C, Wang J. Multiple Sound Sources Localization with Frame-by-Frame Component Removal of Statistically Dominant Source. Sensors. 2018; 18(11):3613. https://doi.org/10.3390/s18113613

Chicago/Turabian Style

Jia, Maoshen, Yuxuan Wu, Changchun Bao, and Jing Wang. 2018. "Multiple Sound Sources Localization with Frame-by-Frame Component Removal of Statistically Dominant Source" Sensors 18, no. 11: 3613. https://doi.org/10.3390/s18113613

APA Style

Jia, M., Wu, Y., Bao, C., & Wang, J. (2018). Multiple Sound Sources Localization with Frame-by-Frame Component Removal of Statistically Dominant Source. Sensors, 18(11), 3613. https://doi.org/10.3390/s18113613

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

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Multiple Sound Sources Localization with Frame-by-Frame Component Removal of Statistically Dominant Source

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