CAJ | 학술논문

根据维吾尔语词重音的位置规律进行音节级标注，提取不同的特征参数（能量、基频等），对各个特征参数作单流、分流及特征级融合识别实验，对比分析各特征参数对重音检测识别率的影响。对融合后的高维单流特征采用主成分分析作降维、去冗余处理，并作识别实验。参照识别精确率结合语音语言学知识对实验结果进行分析。
근거유오이어사중음적위치규률진행음절급표주，제취불동적특정삼수（능량、기빈등），대각개특정삼수작단류、분류급특정급융합식별실험，대비분석각특정삼수대중음검측식별솔적영향。대융합후적고유단류특정채용주성분분석작강유、거용여처리，병작식별실험。삼조식별정학솔결합어음어언학지식대실험결과진행분석。
This paper does much labeling according to the law of the Uyghur’s accent location, and extracts different characteristic parameters(energy, pitch and so on), does single flow, triage and feature fusion recognition to each charac-teristic parameters and compares analysis of the characteristic parameters to accent detection and identification rate. The feature after the integration of high dimensional flow characteristics using PCA is done dimensionality reduction and the redundant processing, and the recognition experiments are done. In the light of the recognition accuracy rate, combined with speech linguistic knowledge the experimental results are analysed.