DocumentCode
180612
Title
A comparison of spectro-temporal representations of audio signals
Author
Krijnders, J.D. ; van Hengel, P.W.J.
Author_Institution
Cognitive Syst. Group, INCAS, Assen, Netherlands
fYear
2014
fDate
4-9 May 2014
Firstpage
8212
Lastpage
8216
Abstract
This article compares methods for the conversion of time-series into a spectro-temporal representation. These methods are designed based on a resemblance with the auditory processing of sound in the inner ear, or on mathematical principles related to, for example, Fourier analysis. This study provides a comparison between several of these methods. Two tests were devised for this comparison: one based on susceptibility to noise and one on the expression of spectro-temporal detail. While some methods produced good results on one of the two tests, others produced good results on both. Overall the transmission line model using an impedance function suggested by Zweig [1] provided the best results, though not significantly. Also a larger computational load may hinder application in some domains. The gammatone filterbank and straightforward spectrogram provide good alternatives with less computational load.
Keywords
audio signal processing; channel bank filters; mathematical analysis; time series; transmission lines; audio signals; auditory processing; fourier analysis; gammatone filterbank; impedance function; mathematical principles; spectro-temporal representations; spectrogram; time series; transmission line model; Impedance; Signal to noise ratio; Spectrogram; Speech; Speech recognition; Time-frequency analysis; Acoustic signal detection; Acoustic signal processing; Signal mapping; Spectral analysis; Spectrogram;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location
Florence
Type
conf
DOI
10.1109/ICASSP.2014.6855202
Filename
6855202
Link To Document