Novel pitch extraction methods using average magnitude difference function (AMDF) for LPC SDeech Coders in Noisv Environments

摘要：

This paper describes a computationally simple Pitch extraction algorithms using Average Magnitude Difference Function (AMDF) which is a new approach using weighted Autocorrelation lI and very useful for accurate Pitch Period extraction Both these algorithms can be software im plemented and performance evaluated. Both of them uses center clipping for time domain processing. This paper also in general Compares the effectiveness of the new AMDF using weighted Autocorrelation and the existing Autocorrelation method and how it is possible to utilize this further in Speech Enhancement Systems using the proposed new algorithms for its implementation.

关键词： Speech Pitch extraction Linear predictive coding (LPC) Noisy Environments Average Magnitude Difference Function (AMDF) Weighted Autocorrelation

作者: Suma S.A. Dr. K.S.Gurumurthy

作者单位: University Visvesvaraya College of Engineering,City Campus , K.R.Circle Bangalore 01, India

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 636-640

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）