NDLI: Characterization of Multiple Transient Acoustical Sources From Time-Transform Representations

Content Provider	IEEE Xplore Digital Library
Author	Wachowski, N. Azimi-Sadjadi, M.R.
Copyright Year	2006
Abstract	This paper introduces a new framework for detecting, classifying, and estimating the signatures of multiple transient acoustical sources from a time-transform representation (TTR) of an audio waveform. A TTR is a vector observation sequence containing the coefficients of consecutive windows of data with respect to known sampled basis waveforms. A set of likelihood ratio tests is hierarchically applied to each time slice of a TTR to detect and classify signals in the presence of interference. Since the signatures of each acoustical event typically span several adjacent dependent observations, a Kalman filter is used to generate the parameters necessary for computing the likelihood values. The experimental results of applying the proposed method to a problem of detecting and classifying man-made and natural transient acoustical events in national park soundscape recordings attest to its effectiveness at performing the aforementioned tasks.
Sponsorship	IEEE Signal Processing Society
Starting Page	1966
Ending Page	1978
Page Count	13
File Size	2550766
File Format	PDF
ISSN	15587916
Volume Number	21
Issue Number	9
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	transient signal detection Kalman filtering multivariate analysis sequence estimation signal classification
Content Type	Text
Resource Type	Article
Subject	Acoustics and Ultrasonics Electrical and Electronic Engineering

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