Measuring the Pitch of a Speech Signal Using the Autocorrelation Function
А. С. Колоколов, I. A. Lyubinskii
Abstract
А. С. Колоколов, I. A. Lyubinskii
Abstract
We propose a novel method for measuring the pitch of a speech signal based on the calculation and subsequent processing of the autocorrelation function of the signal, emphasizing its peak associated with the signal’s period. The proposed processing prevents gross errors in pitch measurement and represents a type of clipping of the positive peaks in the autocorrelation function.
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We propose a novel method for measuring the pitch of a speech signal based on the calculation and subsequent processing of the autocorrelation function of the signal, emphasizing its peak associated with the signal’s period. The proposed processing prevents gross errors in pitch measurement and represents a type of clipping of the positive peaks in the autocorrelation function.
Key concepts: Autocorrelation, Autocorrelation technique, Pitch detection algorithm, Clipping (morphology), SIGNAL (programming language), Speech recognition, Autocorrelation matrix, Acoustics