A Pitch Tracking Method Mixing ACF & AMDF Algorithms Based on Correlations

摘要：

By analyzing the periodicity of autocorrelation functions (ACF) and average magnitude difference functions (AMDF), we present a pitch tracking method based on correlations of mixing ACF & AMDF algorithms. First, we calculate the normalized autocorrelation functions and normalized average magnitude difference functions, and then select a reasonable interpolation parameter from the experiments, and then last, we do linear interpolation. It effectively solves the problem that pitch period is difficult to extract, as the features are not obvious. Meanwhile, through simulation, we proved the accuracy of pitch tracking and the feasibility of implementation using this method for isolated words.

关键词： pitch period short-time autocorrelation average magnitude difference functions

作者: Yingjie Yang Huanhuan Zhang Xiue Guo

作者单位: Information Engineering, Northeast Dianli University, Jilin Jilin 132012, China

会议类型: 国际会议

会议名称: 2011 International Conference on Image Analysis and Signal Processing(2011第三届图像分析与信号处理国际会议 IASP 2011)

会议地点: 武汉

会议语种:英文

页码: 553-556

在线出版日期: 2011-10-21（万方平台首次上网日期，不代表论文的发表时间）