Robust F0 estimation based on time-varying complex speech analysis and its application for IP telephony and musical signal

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F0 estimation of speech plays an important role on speech processing. One of the authors has proposed time-varying complex speech analysis for analytic speech signal and has proposed novel F0 estimation based on the time-varying complex speech analysis in which complex residual is estimated by the speech analysis and F0 is estimated by peak-picking the weighted auto-correlation with a reciprocal of the corresponding AMDF for the residual. It is called frame-based method. In this study, we propose more accurate and fast F0 estimation algorithm. In the method, pre-selections of F0 and F1 are realized by using F0 and F1 contour estimation method based on the time-varying complex analysis. It is called sample-based method. Final-selection of F0 is realized by the frame-based method with shorten range of F0 based on the estimated F0 and F1. The shorten range results in more accurate estimation with smaller computational amount in the two-stage F0 estimation. Furthermore, in order to investigate the efficacy of the time-varying analysis, the frame-based method is evaluated for each frame that is categorized into 4 modes with respect to the voiced strength. The experimental results confirm that the time-varying analysis can perform better for strong voiced frames.