A statistical pitch detection algorithm

Abstract

A new statistical pitch detection algorithm is proposed in this paper. It first defines frame-based voiced/unvoiced probabilistic measures and between-frame pitch transition probabilities, and then tightly integrates them into an ML search to find the best pitch contour of an utterance. Compared with the pitch detection method of the well-known ESPS software package, the proposed method performs better on both UN decision and pitch frequency detection accuracy.