Pitch Shifting of Arabic Speech Signal by Source Filter Modelling for Prosodic Transformations

This paper proposes a pitch shifting technique based on the use of Source Filter Model (SFM) by Linear Prediction. A complete solution is described, included estimation of model parameters, pitch detection, Unvoiced/Voiced (U/V) classification and speech synthesis at several pitch values. An automatic U/V classification is proposed using two methods, the Autocorrelation by thresholding and the Zero Crossing Rate (ZCR) versus Energy computation. The satisfactory performance of this technique is evaluated by listening tests using sentences in Standard Arabic Language. The limit range of pitch shifting for a clear speech synthesizing is found.

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