Spectral Multi-scale Product Analysis for Pitch Estimation from Noisy Speech Signal

Messaoud, Mohamed Anouar Ben; Bouzid, Aicha; Ellouze, Noureddine

doi:10.1007/978-3-642-11509-7_13

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2010

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Cited by 3 publications

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“…The proposed algorithm was originally inspired by our works reported in [16,17] where we used the speech multiscale product spectrum (SMP) for pitch estimation and voicing decision.…”

Section: Introductionmentioning

confidence: 99%

Autocorrelation of the Speech Multi-Scale Product for Voicing Decision and Pitch Estimation

2010

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In this work, we present an algorithm for voiced/unvoiced decision and pitch estimation from speech signals. Our approach is based on classifying the peaks provided by the autocorrelation of the speech multi-scale product. The multi-scale product is based on making the product of the speech wavelet transform coefficients at three successive dyadic scales. The autocorrelation function of the multi-scale product is calculated over frames of a specific length. The experimental results show the robustness and the effectiveness of our approach. Besides, the proposed method outperforms some existing algorithms in a clean and noisy environment.

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“…The proposed algorithm was originally inspired by our works reported in [16,17] where we used the speech multiscale product spectrum (SMP) for pitch estimation and voicing decision.…”

Section: Introductionmentioning

confidence: 99%