A nonlinear analysis method using the surrogate data test is proposed for noisy audio signals. Firstly, several groups of surrogate data are generated according to the linear hypothesis of audio signals. Then, the kurtosis measures of the original audio and surrogate data are calculated, respectively. Finally, the nonlinear components in the original audio are detected based on hypothesis test. Experiment results show that the proposed method proves the nonlinear nature of audio signals, and achieves the better performance for differentiating between audio signals and noise in comparison with the nonlinear analysis based on the largest Lyapunov exponent.