A novel method for spectral-domain fundamental frequency (FO) estimation is proposed. The basis of this method is estimating FO using the power spectrum of a windowed speech segment. For this purpose, a new transform is introduced. The prominent feature of this transform is that it estimates FOfrom the speech segment power spectrum by exploiting the window function power spectrum. As a result, this transform is named the Window-Based transform. By comparison between the proposed method and the autocorrelation and the cepstral pitch estimation methods, the superiority of the proposed method under noisy environments is demonstrated.
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