Location for audio signals based on empirical mode decomposition
In this paper, empirical mode decomposition (EMD) denoising is applied in audio signals location when speech signals are received at several spatially separated sensors in the presence of noise. Firstly, Prior to cross correlation, each of the sensor outputs is separated into several intrinsic mode functions (IMFs) using EMD. Then, we compute normal energy of each IMFs and denoise IMFs according to a thresholding rule. The signals is restructured only using main IMFs in order to increase the input signal-to-noise ratio. Lastly, time delay is estimated by generalized cross correlation — phase transform (GCC-PHAT) between signals and location is completed by solving the geometry equation. The results show that the proposed method may provide not only an increase in the location but also reliability in the noise entironment.