Abstract: Speech denoising technology is one of the key problems in the practical application of speech recognition systems. Since speech signals are nonstationary, speech signal contained chirp was decomposed into several intrinsic mode functions (IMF) with the method of ensemble empirical mode decomposition (EEMD). At the same time, it eliminated the model mix superposition phenomenon which usually came out in processing speech signal with the algorithm of empirical mode decomposition (EMD). After that, several effective speech signal components were separated from intrinsic mode function through the algorithm of improved independent component analysis (ICA). Finally, reconstructed them in the purpose of noise elimination. The result showed that the new speech denoising method proposed above improves SNR up to 2.7412 dB in the condition that -10 dB SNR vehicle interior noise.