F0 estimation based on robust ELS complex speech analysis

A robust fundamental frequency (F₀) estimation algorithm based on robust ELS (Extended Least Square) complex-valued speech analysis for an analytic speech signal is proposed in this paper. Speech spectrum can be accurately estimated in low frequencies since the analytic signal provides spectrum only over positive frequencies. The remarkable feature makes it possible to realize more accurate F₀ estimation using complex residual extracted by the speech analysis. We have already proposed F₀ estimation using complex LPC residual, in which the autocorrelation function weighted by AMDF was adopted for the criterion. The method adopted an MMSE-based complex LPC analysis and it has been reported that it can estimate more accurate F₀ for IRS filtered speech corrupted by white Gauss noise although it cannot perform better for the IRS filtered speech corrupted by pink noise. In this paper, robust complex speech analysis based on ELS method is introduced in order to solve the problem and evaluated with larger number of speech data. The experimental results for additive white Gauss or pink noise demonstrate that the proposed algorithm based on robust complex residual can perform better than other methods.