Real-time pitch tracking based on sum of magnitude difference square function
Wenhu Wu · Journal of Tsinghua University(Science and Technology) · 2006
A pitch tracking algorithm was developed based on the normalized sum of the magnitude difference square function(SMDSF) for accurately estimating speech pitch at any sample rate in real time.The SMDSF can be calculated efficiently by FFT with a time complexity of O(N ln N).A normalized form of the SMDSF is related to the ratio of the aperiodic power to the total power.Thus,the state loss function and the transition loss function based on the normalized SMDSF can use the Viterbi algorithm to find the optimal pitch path.Test results show that the pitch tracing algorithm works in real-time with 9.31% less pitch estimation errors compared with the baseline pitch tracking system,which illustrates the accuracy of the normalized SMDSF-based pitch tracking combined with the Viterbi algorithm.