摘要
采用一种双门限的端点检测算法精确地检测出了语音端点;对线性预测倒谱系数LPCC和Mel频率倒谱系数MFCC的性能进行了对比分析;以MFCC为特征参数,实现了基于动态时间归整算法DTW的轮椅命令字识别系统,识别效果达到90%以上。DTW的高效算法降低了算法的执行时间,优化了系统性能。
A kind of endpoint detection algorithm with double threshold is adopted and the speech endpoint can be detected accurately. Then the performance of LPCC（Linear Prediction Cepstrum Cofficient） and MFCC（Mel Frequency Cepstral Coefficients） is contrasted and analyzed. According to the result, MFCC is used as the feature parameter, and the wheelchair command-word recognition system based on DTW is realized. The recognition effect achieves above 90%. More efficient DTW algorithm decreases the algorithm run time, and the system recognition performance is optimized.
出处
《电声技术》
2008年第2期49-51,共3页
Audio Engineering
基金
江西省科技厅工业攻关项目(20041A01300)
关键词
端点检测
特征提取
DTW算法
高效算法
endpoint detection
feature extraction
DTW algorithm
more efficient algorithm
