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Robust F0 (Fundamental frequency) estimation plays an important role in speech processing. This paper proposes simple F0 contour estimation algorithm based on the robust TV-CAR speech analysis, in which the F0 contour is estimated by peak-picking for the estimated time-varying spectrum by means of ELS-based robust complex speech analysis for an analytic speech signal. The experimental results demonstrate...
The speech signal is usually considered as stationary during short analysis time intervals. Though this assumption may be sufficient in some applications, it is not valid for high-resolution speech analysis and in applications such as speech transformation and objective voice function assessment for detection of voice disorders. In speech, there are non stationary components, for instance time-varying...
A new scheme for the estimation of formant frequencies from noise-corrupted speech signals is presented in this paper. In order to overcome the effect of noise, first, instead of conventional autocorrelation function (ACF), a once-repeated ACF of the observed data is employed. A ramp cosine cepstrum model of the ORACF of speech signal is developed, followed by a model-fitting based least-square optimization...
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