2003
DOI: 10.1155/s1110865703212014
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The Fusion of Distributed Microphone Arrays for Sound Localization

Abstract:

This paper presents a general method for the integration of distributed microphone arrays for localization of a sound source. The recently proposed sound localization technique, known as SRP-PHAT, is shown to be a special case of the more general microphone array integration mechanism presented here. The proposed technique utilizes spatial likelihood functions (SLFs) produced by each microphone array and integrates them using a weighted addition of the individual SLFs. This integration strategy account… Show more

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Cited by 109 publications
(68 citation statements)
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“…Halupka et al [2] discuss a customized integrated chip in 0.18um process for low power execution of the digital signal processing routines needed for localization. The FPGA implementation in [14] uses the same algorithm as described in [2]. Xilinx Virtex II 2000 (2V2000)…”
Section: Sn1 Sn2 Sn3 Sn4mentioning
confidence: 99%
“…Halupka et al [2] discuss a customized integrated chip in 0.18um process for low power execution of the digital signal processing routines needed for localization. The FPGA implementation in [14] uses the same algorithm as described in [2]. Xilinx Virtex II 2000 (2V2000)…”
Section: Sn1 Sn2 Sn3 Sn4mentioning
confidence: 99%
“…The relative location of the nodes provides us with sufficient spatial information to implement a wireless microphone array (WMA). WMAs have many potential applications in distributed audio processing, such as speech enhancement [4], blind source separation and echo cancelation [5], speaker localization and tracking [6,7], and voice activity detection [8].…”
Section: Introductionmentioning
confidence: 99%
“…An integrated miniature sensor array with localization and communication capability could be contained as a low-cost, low-power small autonomous node in network configuration distributed over a wide area [9]- [11]. This leads to higher localization performance in distributed sensing environments bypassing the need for excessive data transfer and fine-grain time synchronization among nodes, with low communication bandwidth and low complexity.…”
Section: Introductionmentioning
confidence: 99%