Detecting Bat Calls: An Analysis of Automated Methods
| Autor: | Mark D. Skowronski, M. Brock Fenton |
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| Rok vydání: | 2009 |
| Předmět: | |
| Zdroj: | Acta Chiropterologica. 11:191-203 |
| ISSN: | 1733-5329 1508-1109 |
| DOI: | 10.3161/150811009x465811 |
| Popis: | Long-term and large-scale acoustic surveys of bats have become possible with the increased availability of recording hardware and advances in battery and memory storage technologies. The volume of data generated in surveys necessitates automated call detection, either in real time via a triggering function or offline, yet researchers are hesitant to replace traditional hand analysis without a thorough understanding of the accuracy and costs of automated detection. We compared detection accuracy and computational cost of the underlying algorithms used in commercial detectors (a zero-crossing detector, a spectral peak detector, and a high-band energy detector) with a model-based analysis method called the links detector. We predicted that the links detector would be more accurate than the other detectors, producing a larger effective detection range, because the links detector uses more information to make detection decisions. We also predicted that the links detector would be the most computationally expen... |
| Databáze: | OpenAIRE |
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