Abstract: Wetland has rich resources, huge environmental regulation function, but also ecological benefit. With the development of human society, the problem of wetland ecological protection is being paid moreand more attention, bird monitoring is often used as an effective indicator for the evaluation of wetlands’ environmental quality. At home and abroad, bird monitoring technology mainly takes a large number of manpower statistics method，and this leads to a serious waste of valuabale human resources.Based on thiscondition，the traditional method of speech recognition took the method of exacting the time domain characteristics or the frequency domain characteristics, and according to the characteristics of bird call,this paper presents a method which combining the syllables’ length and multi segment average spectrum. The experimental result shows that comparing the method of combining characteristics of syllable length and multi segment average spectrum with the method of using only characteristic of multi segment average spectrum, the recognition rate is increased from 92.38% to 100%, the experiment adopted 17 kinds of common wetland birds, the identification effect is very accurate which indicates that the multi feature recognition method proposed in this paper has an important reference value for improving the accuracy of recognition