Sound source localization based on data and neural network model

Abstract In this study, the integration of sound source localization with neural network techniques is proposed. Firstly, the development history and basic principle of neural networks are introduced. Combined with the characteristics of sound source location, the residual neural network is analyzed, and the residual neural network is used as the neural network model. The sound signal received by the microphone array is computed by PHAT-SCOT and the output is trained as the input feature of ResNet. Finally, the results of indoor sound source location are obtained in the test set. Experimental findings demonstrate that the neural network-based localization algorithm exhibits robust localization accuracy across diverse environmental conditions.