A Fast and Accurate Sound Source Localization Method Using the Optimal Combination of SRP and TDOA Methodologies

سال انتشار: 1394
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 502

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شناسه ملی سند علمی:

JR_JIST-3-2_007

تاریخ نمایه سازی: 9 اسفند 1395

چکیده مقاله:

This paper presents an automatic sound source localization approach based on a combination of the basic time delay estimation sub-methods namely, Time Difference of Arrival (TDOA), and Steered Response Power (SRP) methods. The TDOA method is a fast but vulnerable approach for finding the sound source location in long distances and reverberant environments and is so sensitive in noisy situations. On the other hand, the conventional SRP method is time consuming, but a successful approach to accurately find sound source location in noisy and reverberant environments. Also, another SRP-based method, SRP Phase Transform (SRP-PHAT), has been suggested for the better noise robustness and more accuracy of sound source localization. In this paper, based on the combination of TDOA and SRP based methods, two approaches were proposed for sound source localization. In the first proposed approach called Classical TDOA-SRP, the TDOA method is used to find the approximate sound source direction and then SRP based methods were used to find the accurate location of sound source in the Field of View (FOV) which is obtained by the TDOA method. In the second proposed approach which called Optimal TDOA-SRP, for more reduction of computational processing time of SRP-based methods and better noise robustness, a new criterion has been proposed for finding the effective FOV which is obtained through the TDOA method. Experiments were carried out under different conditions confirming the validity of the purposed approaches.

کلیدواژه ها:

Steered Response Power ، Time Delay Estimation ، Steered Response Power Phase Transform ، Sound Source Localization ، Time Difference Of Arrival ، Field Of View

نویسندگان

Mohammad Ranjkesh

Department of Electrical Engineering, University Of Guilan, Rasht, Iran

Reza Hasanzadeh

Department of Electrical Engineering, University Of Guilan, Rasht, Iran