BirdVox: From flight call classification to full-season migration monitoring

2019 ◽  
Vol 146 (4) ◽  
pp. 2984-2984
Author(s):  
Vincent Lostanlen
Keyword(s):  
Call Classification

scholarly journals Adaptive frequency scaled wavelet packet decomposition for frog call classification

2016 ◽  
Vol 32 ◽  
pp. 134-144 ◽  
Author(s):  
Jie Xie ◽  
Michael Towsey ◽  
Jinglan Zhang ◽  
Paul Roe
Keyword(s):  
Wavelet Packet ◽  
Wavelet Packet Decomposition ◽  
Call Classification

scholarly journals Using semantic and syntactic graphs for call classification

2005 ◽  
Author(s):  
Dilek Hakkani-Tür ◽  
Gokhan Tur ◽  
Ananlada Chotimongkol
Keyword(s):  
Call Classification

Bats are still not birds in the digital era: echolocation call variation and why it matters for bat species identification

2018 ◽  
Vol 96 (2) ◽  
pp. 63-78 ◽  
Author(s):  
Danilo Russo ◽  
Leonardo Ancillotto ◽  
Gareth Jones
Keyword(s):  
Adaptive Significance ◽  
Bird Songs ◽  
Echolocation Call ◽  
Comprehensive Overview ◽  
Echolocation Calls ◽  
Digital Era ◽  
Call Classification ◽  
Acoustic Surveys ◽  
And Behavior ◽  
And Control

The recording and analysis of echolocation calls are fundamental methods used to study bat distribution, ecology, and behavior. However, the goal of identifying bats in flight from their echolocation calls is not always possible. Unlike bird songs, bat calls show large variation that often makes identification challenging. The problem has not been fully overcome by modern digital-based hardware and software for bat call recording and analysis. Besides providing fundamental insights into bat physiology, ecology, and behavior, a better understanding of call variation is therefore crucial to best recognize limits and perspectives of call classification. We provide a comprehensive overview of sources of interspecific and intraspecific echolocation call variations, illustrating its adaptive significance and highlighting gaps in knowledge. We remark that further research is needed to better comprehend call variation and control for it more effectively in sound analysis. Despite the state-of-art technology in this field, combining acoustic surveys with capture and roost search, as well as limiting identification to species with distinctive calls, still represent the safest way of conducting bat surveys.

Boosting with prior knowledge for call classification

2005 ◽  
Vol 13 (2) ◽  
pp. 174-181 ◽  
Author(s):  
R.E. Schapire ◽  
M. Rochery ◽  
M. Rahim ◽  
N. Gupta
Keyword(s):  
Prior Knowledge ◽  
Call Classification
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