Novel pitch extraction methods using average magnitude difference function (AMDF) for LPC speech coders in noisy environments

This paper describes a computationally simple Pitch extraction algorithms using Average Magnitude Difference Function (AMDF) which is a new approach using weighted Autocorrelation and very useful for accurate Pitch Period extraction. Both these algorithms can be software implemented 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.