A New Method for Pitch Tracking and Voicing Decision Based on Spectral Multi-scale Analysis

This paper proposes a new method for voicing detection and pitch estimation. This method is based on the spectral analysis of the speech multi-scale product. The multi-scale product (MP) consists of making the product of the speech signal wavelet transform coefficients. The wavelet used is the quadratic spline function. The spectrum of the multi-scale product analysis reveals rays corresponding to the fundamental frequency and its harmonics. We evaluate our approach on the Keele University database. The experimental results show the effectiveness of our method comparatively to the state-of-the-art algorithms.

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