Sound Source Localization Based on the Simple Cross-correlation Method and Probabilistic Neural Networks

Author(s):  
Juliana Tsybulskaya ◽  
Nikita Permiakov ◽  
Pavel Drugov ◽  
Alexander Denisov
2013 ◽  
Vol 397-400 ◽  
pp. 2209-2214
Author(s):  
Chuan Yi Zhang ◽  
Chang Wei Mi ◽  
Pei Yang Yao

In the estimation of time delay, there always would not appear obvious peak with the basic cross-correlation (CC). In order to solve the problem of the basic cross-correlation method, this essay represents an improved time delay estimation method based on the generalized cross-correlation (GCC) and combines with the microphone array structure to achieve sound source localization. Finally, the simulation results show that this method could measure the sound source’s location accurately with noise and reverberation, and the distance positioning error is less than 10cm, the direction angle error is below 3°.


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