Title :
Spectral Multi-Scale Analysis for Multi-Pitch Tracking
Author :
Ben Messaoud, Mohamed Anouar ; Bouzid, Aicha ; Ellouze, Noureddine
Author_Institution :
Dept. of Electr. Eng., Nat. Sch. of Eng. of Tunis, Tunis
Abstract :
This paper proposes a robust and accurate multi-pitch estimation method for multiple voices. This method is based on the spectral analysis of the mixture sound multi-scale product. The multi-scale product (PM) consists of making the product of wavelet transform coefficients. The wavelet used is the quadratic spline function. Simulation results showed that the proposed method can robustly estimate FOs for clean speech and for speech mixed with various interferences.
Keywords :
speech processing; wavelet transforms; mixture sound multiscale product; multi-pitch estimation; multi-pitch tracking; multiple voices; quadratic spline function; spectral multiscale analysis; wavelet transform coefficient; Continuous wavelet transforms; Discrete wavelet transforms; Frequency; Interference; Loudspeakers; Robustness; Spectral analysis; Speech analysis; Wavelet analysis; Wavelet transforms; Multi-pitch; Speech; multi-scale; pitch; wavelet transform;
Conference_Titel :
Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, 2009. DSP/SPE 2009. IEEE 13th
Conference_Location :
Marco Island, FL
Print_ISBN :
978-1-4244-3677-4
Electronic_ISBN :
978-1-4244-3677-4
DOI :
10.1109/DSP.2009.4785890
