Enhancement of harmonic content of speech based on a dynamic programming pitch tracking algorithm

For pitch tracking of a single speaker, a common requirement is to find the optimal path through a set of voiced or voiceless pitch estimates over a sequence of time frames. Dynamic programming (DP) algorithms have been applied before to this problem. Here, the pitch candidates are provided by a multi-channel autocorrelation-based estimator, and DP is extended to pitch tracking of multiple concurrent speakers. We use the resulting pitch information to enhance harmonic content in noisy speech and to obtain separations of target from interfering speech.