Robust pitch determination via SVD based cepstral methods

Author

Andrews, M. Scott ; Picone, Joseph ; DeGroat, Ronald D.

Author_Institution

Visual Inf. Technol., Plano, TX, USA

fYear

1990

fDate

3-6 Apr 1990

Firstpage

253

Abstract

A greatly enhanced cepstral-based pitch estimator which uses the MUSIC algorithm for estimating background noise characteristics is presented. This approach couples the signal enhancement capabilities of MUSIC, which is based on singular value decomposition (SVD) orthogonalization, with the harmonic spectrum estimation capabilities of the cepstrum. Marked improvements are demonstrated over standard fast Fourier transform (FFT)-based cepstral processing. Objective performance evaluations show increased frequency determination capability at low signal-to-noise ratios

Keywords

spectral analysis; speech analysis and processing; MUSIC algorithm; SVD based cepstral methods; background noise characteristics; cepstral-based pitch estimator; frequency determination capability; harmonic spectrum estimation; orthogonalization; performance evaluations; signal enhancement; singular value decomposition; Background noise; Cepstral analysis; Cepstrum; Fast Fourier transforms; Frequency; Multiple signal classification; Noise robustness; Signal to noise ratio; Singular value decomposition; Spectral analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on

Conference_Location

Albuquerque, NM

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1990.115613

Filename

115613