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.
The work was supported by Saint Petersburg State University, project 6.37.349.2015.
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The work was supported by Saint Petersburg State University, project 6.37.349.2015.
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Barabanov, A., Melnikov, A., Magerkin, V., Vikulov, E. (2015). Fast Algorithm for Precise Estimation of Fundamental Frequency on Short Time Intervals. In: Ronzhin, A., Potapova, R., Fakotakis, N. (eds) Speech and Computer. SPECOM 2015. Lecture Notes in Computer Science(), vol 9319. Springer, Cham. https://doi.org/10.1007/978-3-319-23132-7_27
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DOI: https://doi.org/10.1007/978-3-319-23132-7_27
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