基于遗传匹配追踪分解的汉语孤立字声韵分割

Chinese Syllable Initial-Final Segmentation Based on Genetic Matching Pursuit

汉语实际发音中声母能量小,其频率成分多且分布分散;而韵母能量相对较大,其频率成分较少且集中于中低频。运用时频分析方法,将声母和韵母发音的这些差异同时体现在时频平面的时频原子特征上,提出利用所得到的Gabor原子参数的不同对汉语孤立字进行声韵分割的新方法,并通过引入遗传算法降低匹配追踪算法搜索原子的运算量。对115个汉语孤立字的仿真实验显示,该方法的分割正确率可达80.87%。

The initial part of a Chinese syllable is usually known as carrying less energy and more frequency components in a scattered way while the final part carrying much more energy as well as less frequency components which are focused in a lower frequency range when compared with each other.By employing time-frequency analysis,these differences were represented with corresponding atoms＇ characteristics in time-frequency plane.With the genetic algorithm be introduced to reduce the matching pursuit computing load for searching best atoms,a new segment method based on Gabor atomic parameters was implemented.Simulation on 115 syllables has achieved an accuracy of 80.87%.