Output details
11 - Computer Science and Informatics
Birmingham City University
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Output 0 of 0 in the submission
Article title
Automatic detection and recognition of tonal bird sounds in noisy environments
Type
D - Journal article
Title of journal
EURASIP Journal on Advances in Signal Processing
Article number
-
Volume number
2011
Issue number
1
First page of article
982936
ISSN of journal
1687-6180
Year of publication
2011
Number of additional authors
1
Additional information
<17> This paper introduces a technique for the first time that enables to automatically detect bird tonal vocalisations in noisy environments. It also provides feature representation that showed significant performance advantages over the current state-of-the-art for bird recognition. Part of this work was performed for Biocensus (SME in Midlands), under INDEX grant. This work has led to collaboration with the Ohio State University (USA) and to discussions for commercial exploitation with Biocensus (UK), Agant (UK), Rydell Consulting (Sweden).
Interdisciplinary
-
Cross-referral requested
-
Research group
2 - Digital Media Technology
Citation count
3
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
