Abstract
This paper describes a new multipitch estimation method. The proposed approach is based on the calculation of the autocorrelation function of the Multi-scale product of the composite signal and its filtered version by a comb filter. After analyzing the composite speech signal, the autocorrelation applied on the multi-scale product (MP) of the signal allows us to find the first pitch; it’s the dominant one. After applying the comb filter, we substract the resulting signal from the original one. Then we apply the same analysis to the residue to obtain the pitch estimation of the intrusion. Besides, this method is applied and evaluated on the Cooke database. It’s also compared to other well known algorithms. Experimental results show the robustness and the effectiveness of our approach.
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Zeremdini, J., Ben Messaoud, M.A., Bouzid, A., Ellouze, N. (2013). Contribution to the Multipitch Estimation by Multi-scale Product Analysis. In: Drugman, T., Dutoit, T. (eds) Advances in Nonlinear Speech Processing. NOLISP 2013. Lecture Notes in Computer Science(), vol 7911. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38847-7_7
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DOI: https://doi.org/10.1007/978-3-642-38847-7_7
Publisher Name: Springer, Berlin, Heidelberg
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