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Single versus Multi-Source Discrimination in Birdcalls using Zero-Frequency Filtering
- Source :
- NCC
- Publication Year :
- 2019
- Publisher :
- IEEE, 2019.
-
Abstract
- In the processing of bioacoustic recordings such as birdcalls, sometimes it is desirable to determine if a recording has one bird calling or has more than one. In this paper, we utilize the well-established zero-frequency filtering method, used for determining significant instants of excitation (also called epochs), for this task. By determining the average number of epochs per second, we are able to reliably discriminate birdcalls made by a single bird from those made by multiple birds. Experimental evaluation on three bioacoustic datasets confirms the reliability of the method. Species identification studies using deep neural network classifiers highlight the utility of the method.
- Subjects :
- Artificial neural network
Computer science
Bioacoustics
business.industry
020206 networking & telecommunications
Pattern recognition
02 engineering and technology
01 natural sciences
Task (project management)
Zero frequency filtering
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
Species identification
Artificial intelligence
business
010301 acoustics
Reliability (statistics)
Multi-source
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2019 National Conference on Communications (NCC)
- Accession number :
- edsair.doi...........6eecc48c1e2dc9f84b75bb7a3dec79f6