计算机工程与应用2011，Vol.47Issue(12)：20-22,26,4.DOI:10.3778/j.issn.1002-8331.2011.12.006
结合MFCC分析和仿生模式识别的语音识别研究
Speech recognition research based on MFCC analysis and biomimetic pattern recognition.
摘要
Abstract
A speech recognition method is proposed based on MFCC analysis and Biomimetic Pattern Recognition(BPR).It analyzes the distances among different samples kinds about same MFCC component and selects right coefficients,the comparative experiments are conducted with conditional method. The results show that, in the condition of small vocabulary,the calculated efficiency and recognition rates are improved. Based on BPR continuous theory,it finds the optimal covering of sample features in the same class,the recognition result is improved greatly.关键词
仿生模式识别/语音识别/Mel频率倒谱系数(MFCC)Key words
biomimetic pattern recognition/speech recognition/Mel Frequency Cepstrum Coefficient(MFCC)分类
信息技术与安全科学引用本文复制引用
王宪保,陈勇,汤丽平..结合MFCC分析和仿生模式识别的语音识别研究[J].计算机工程与应用,2011,47(12):20-22,26,4.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60871093) （the National Natural Science Foundation of China under Grant No.60871093）
浙江省教育厅科研项目(No.200907801). （No.200907801）
