Sixth European Conference on Speech Communication and Technology
In this paper we propose two techniques for the estimation of the fundamental frequency of speech signals. The first technique is based on the Autoregressive Harmonic Excitation (ARHE) speech model. ARHE model consists of an autoregressive process driven simultaneously by white noise and a periodic excitation. The second technique is based on the estimation of a complex sinusoid in white Gaussian noise. It uses the Hilbert transform of the speech signal and the derivative of its phase function over the time. The derivative of the phase information is seen as a simple model of a moving average process driven by noise. The fundamental frequency is obtained by the minimum variance estimator of the model. The proposed methods have comparable performance to previous reported pitch detectors while they maintain their performance under noisy conditions.
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Bibliographic reference. Zeljkovic, Ilija / Stylianou, Yannis (1999): "Single complex sinusoid and ARHE model based pitch extractors", In EUROSPEECH'99, 2813-2816.