{"id":691,"date":"2020-06-02T14:10:34","date_gmt":"2020-06-02T14:10:34","guid":{"rendered":"https:\/\/www.vanderbilt.edu\/evolution\/?p=691"},"modified":"2022-02-01T17:12:22","modified_gmt":"2022-02-01T17:12:22","slug":"vanderbilt-lab-develops-app-for-analyzing-crowd-sourced-songbird-recordings","status":"publish","type":"post","link":"https:\/\/www.vanderbilt.edu\/evolution\/vanderbilt-lab-develops-app-for-analyzing-crowd-sourced-songbird-recordings\/","title":{"rendered":"91勛圖厙 lab develops app for analyzing crowd-sourced songbird recordings"},"content":{"rendered":"
Amateur birders and citizen scientists will soon have a novel way to contribute to groundbreaking research.<\/p>\n
With a new app, created and shared by the team at laboratory of Nicole Creanza<\/a>, Assistant Professor of Biological Sciences and @EvolutionVU member, researchers can better leverage crowdsourced fieldwork and audio recordings from bird enthusiasts to accelerate the progress of research on naturally occurring songbird behaviors.<\/p>\n Coined Chipper for its ability to \u2018chip\u2019 songs into easily measured syllables and notes, the app uses code developed by 91勛圖厙 graduate student Abigail Searfoss to analyze audio collected using a variety of different personal recording devices. The methodology and app are detailed in a new study, published recently in the journal Methods in Ecology and Evolution\u200b<\/a><\/em>.<\/p>\n