Editing Bioacoustics (section)

===Acoustic signals===
[[Image:Akhumps_128_016_0_500c.png|thumb|200px|left|[[Spectrogram]] (above) and [[oscillogram]] (below) of the [[humpback whale]]'s calls]]
An experienced observer can use animal sounds to recognize a "singing" animal [[species]], its location and condition in nature. Investigation of animal sounds also includes signal recording with electronic recording equipment. Due to the wide range of signal properties and media they propagate through, specialized equipment may be required instead of the usual [[microphone]], such as a [[hydrophone]] (for underwater sounds), detectors of [[ultrasound]] (very high-[[frequency]] sounds) or [[infrasound]] (very low-frequency sounds), or a [[laser Doppler vibrometer|laser vibrometer]] (substrate-borne vibrational signals). [[Computer]]s are used for storing and analysis of recorded sounds. Specialized sound-editing [[software]] is used for describing and sorting signals according to their [[amplitude|intensity]], [[frequency]], duration and other parameters.

Animal sound collections, managed by [[museum of natural history|museums of natural history]] and other institutions, are an important tool for systematic investigation of signals. Many effective automated methods involving signal processing, data mining, machine learning and artificial intelligence<ref>{{Cite magazine |last=Rodrigues |first=Meghie |date=13 January 2024 |title=The song of a missing bird may help scientists find it |url=<!-- citation from paper magazine --> |department=The Science Life |magazine=[[Science News]] |page=4}}</ref> techniques have been developed to detect and classify the bioacoustic signals.<ref>M. Pourhomayoun, P. Dugan, M. Popescu, and C. Clark, “Bioacoustic Signal Classification Based on Continuous Region Features, Grid Masking Features and Artificial Neural Network,” International Conference on Machine Learning (ICML), 2013.</ref>