A Spectral Phase Algorithm for Detecting and Estimating Pitch

摘要

We describe a fast and efficient algorithm for automatic detection and estimation of the fundamental frequency FO of a harmonic time-domain signal. The method is based on differentiation of the short time Fourier transform (STFT) phase, which is implemented as a cross-spectral product. In estimating and isolating the fundamental frequency, several enhancement processes are developed and applied to the TF surface to improve the signal quality. We describe the algorithm in detail and demonstrate the processing gain achieved at each step. In addition, we apply the algorithm to human speech to recover the pitch fundamental FO and report the evaluation of the algorithm's performance on the Western Michigan vowel corpus.