The Mellin-wavelet transform

Author

Nelson, Douglas

Author_Institution

US Dept of Defense, Fort Meade, MD, USA

Volume

2

fYear

1995

fDate

9-12 May 1995

Firstpage

1101

Abstract

Most machine speech analysis and processing is based on a warped spectral representation. The intent of the paper is to present a method by which proper warped representations can be computed efficiently. In the case of log-warping functions, the methods of the paper produce a wavelet-like transform as a linear convolution of a single log-warped wavelet basis element and a log-warped representation of the signal. The resulting doubly warped transform is referred to in the paper as a Mellin-wavelet transform. The majority of the paper is devoted to deriving design parameters for implementation of the transform, with speech as the primary application

Keywords

acoustic convolution; spectral analysis; speech processing; wavelet transforms; Mellin-wavelet transform; design parameters; doubly warped transform; implementation; linear convolution; log-warped representation; log-warped wavelet basis element; log-warping functions; machine speech analysis; speech processing; warped spectral representation; wavelet-like transform; Bandwidth; Computer architecture; Convolution; Energy resolution; Filter bank; Sampling methods; Speech analysis; Speech processing; Time frequency analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.480427

Filename

480427