ICASSP 2015accepted0 citations
Classification of whale vocalizations using the Weyl transform
Yin Xian, Andrew Thompson, Qiang Qiu, Loren W. Nolte, Douglas Nowacek, Jianfeng Lu, A. Robert Calderbank
Abstract
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.
BibTeX
@inproceedings{icassp2015_classificationof,
title = {Classification of whale vocalizations using the Weyl transform},
author = {Yin Xian and Andrew Thompson and Qiang Qiu and Loren W. Nolte and Douglas Nowacek and Jianfeng Lu and A. Robert Calderbank},
booktitle = {ICASSP 2015},
year = {2015}
}