Pitch detection in noisy environment plays an important role in speech analyzing and recognition. Autocorrelation and average magnitude difference function are essential methods in pitch detection. A novel and effective method combining them is proposed. By simulation experiments, it is shown that the proposed pitch extraction method is feasible. It behaves more robustly than the conventional methods, especially effective at low signal－to－noise ratio.