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

Author(s): Aicha Bouzid | Mohamed Anouar Ben Messaoud

Journal: Signal Processing : An International Journal
ISSN 1985-2339

Volume: 3;
Issue: 5;
Start page: 144;
Date: 2009;
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Keywords: Speech | Wavelet transforms | Multi-scale | Pitch | Voicing detection

This paper proposes a new voicing detection and pitch estimation method that is particularly robust for noisy speech. 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 wavelet transform coefficients. The wavelet used is the quadratic spline function. We argue that the spectral of Multi-scale Product Analysis is capable of revealing an estimate of a pitch-harmonic more accurately even in a heavy noisy scenario. We evaluate our approach on the Keele database. The experimental results show the robustness of our method for noisy speech, and the good performance for clean speech in comparison with state-of-the-art algorithms.

Tango Jona
Tangokurs Rapperswil-Jona

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