关键词: 仿生模式识别, 性别识别, 基音频率, 高维空间

Abstract: Based on the biomimetic pattern recognition theory，this paper proposes an improved algorithm for gender identification.Firstly，the pitch of each training data will be extracted as the feature we used to train and test samples.Then，cover the high dimensional space by some neurons，according to the distances between training samples of each kind of patterns.Experiments show that the biomimetic pattern recognition theory is validity in classification problems.And using only 50 training samples，the result shows better improvement in correct recognition rate.

Key words: biomimetic pattern recognition, gender identification, pitch, high dimensional space