2015 | OriginalPaper | Buchkapitel
Fast Algorithm for Precise Estimation of Fundamental Frequency on Short Time Intervals
Autoren: Andrey Barabanov, Alexandr Melnikov, Valentin Magerkin, Evgenij Vikulov
Erschienen in:
Speech and Computer
Abstract
Fast algorithms are proposed for precise estimation of the Fundamental frequency on a short time interval. The approach is a generalization of the unbiased frequency estimator. Its computational complexity is proportional to that of FFT on the same time interval. A trade-off between approximation error and numerical speed is established. The result is generalized to the linear trend model. The lower bound is obtained for the time interval length with a nonsingular information matrix in the estimation problem. The frequency estimation algorithm is not sensitive to big random noises.