Classification of whale vocalizations using the Weyl transform

Conference Paper

© 2015 IEEE. In this paper, we apply the Weyl transform to represent the vocalization of marine mammals. In contrast to other popular representation methods, such as the MFCC and the Chirplet transform, the Weyl transform captures the global information of signals. This is especially useful when the signal has low order polynomial phase. We can reconstruct the signal from the coefficients obtained from the Weyl transform, and perform classification based on these coefficients. Experimental results show that classification using features extracted from the Weyl transform outperforms the MFCC and the Chirplet transform on our collected whales data.

Full Text

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Duke Authors

Cited Authors

Xian, Y; Thompson, A; Qiu, Q; Nolte, L; Nowacek, D; Lu, J; Calderbank, R

Published Date

January 1, 2015

Published In

IEEE International Conference on Acoustics Speech and Signal Processing

Volume / Issue

2015-August /

Start / End Page

773 - 777

International Standard Serial Number (ISSN)

1520-6149

International Standard Book Number 13 (ISBN-13)

9781467369978

Digital Object Identifier (DOI)

10.1109/ICASSP.2015.7178074

Citation Source

Scopus