Original title: Signal Processing For Vocal Recognition Of Sturnus Vulgaris
Authors: Lázničková, Jana
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: This paper describes the issue of sturnus vulgaris detection in the vineyards in order toscare these animals more effectively. The analysis and classification of bird singing is difficultbecause many problems can appear. One of the problems is background noise e.g. sounds of cars,trees, and also the singing of various bird species at once. Another problem is different types of birdsongs. For example, an alarm melody, search for food, and also communication between the birdsduring a flight. This article presents a solution to one of these problems in case when only audiorecordings are available.
Keywords: MFCC; python; raspberry; spectrogram; sturnus vulgaris
Host item entry: Proceedings II of the 27st Conference STUDENT EEICT 2021: Selected papers, ISBN 978-80-214-5943-4

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/200860

Permalink: http://www.nusl.cz/ntk/nusl-447904


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