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

fYear

2009

fDate

4-7 Jan. 2009

Firstpage

26

Lastpage

31

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/DSP.2009.4785890

Filename

4785890