Real-time Sound Localization Using Generalized Cross Correlation Based on 0.13 ㎛ CMOS Process

Jin, Jungdong; Jin, Seunghun; Lee, Sang-Jun; Kim, Hyung Soon; Choi, Jong Suk; Kim, Munsang; Jeon, Jae Wook

doi:10.5573/jsts.2014.14.2.175

Cited by 7 publications

(2 citation statements)

References 17 publications

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“…In these approaches, a specific grid is scanned to identify the location of the sound source. One limitation of such methods is the high cost of computation since they are relatively more sophisticated [61][62][63][64][65][66][67][68][69][70][71][72][73][74]. Recently Munawar et al has worked on acoustic imaging in [75][76][77][78][79].…”

Section: Related Workmentioning

confidence: 99%

“…The outputs of this function are some coefficients referred to as cross correlation coefficients, which correspond to the value of each calculated time delay. The cross-correlation coefficients are computed by taking a sum of product of the corresponding portion of the signals when they intersect with one another [65]. The value of each cross correlation coefficient represents a specific time delay of a signal in reaching the two microphones [66].…”

Section: Cross Correlation For Detection Of Delaysmentioning

confidence: 99%

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Sound Localization for Ad-Hoc Microphone Arrays

et al. 2021

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Sound localization is a field of signal processing that deals with identifying the origin of a detected sound signal. This involves determining the direction and distance of the source of the sound. Some useful applications of this phenomenon exists in speech enhancement, communication, radars and in the medical field as well. The experimental arrangement requires the use of microphone arrays which record the sound signal. Some methods involve using ad-hoc arrays of microphones because of their demonstrated advantages over other arrays. In this research project, the existing sound localization methods have been explored to analyze the advantages and disadvantages of each method. A novel sound localization routine has been formulated which uses both the direction of arrival (DOA) of the sound signal along with the location estimation in three-dimensional space to precisely locate a sound source. The experimental arrangement consists of four microphones and a single sound source. Previously, sound source has been localized using six or more microphones. The precision of sound localization has been demonstrated to increase with the use of more microphones. In this research, however, we minimized the use of microphones to reduce the complexity of the algorithm and the computation time as well. The method results in novelty in the field of sound source localization by using less resources and providing results that are at par with the more complex methods requiring more microphones and additional tools to locate the sound source. The average accuracy of the system is found to be 96.77% with an error factor of 3.8%.

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