Publication detail

Signal Processing for Vocal Recognition of Sturnus Vulgaris

LÁZNIČKOVÁ, J.

Original Title

Signal Processing for Vocal Recognition of Sturnus Vulgaris

Type

conference paper

Language

English

Original Abstract

This paper describes the issue of sturnus vulgaris detection in the vineyards in order to scare these animals more effectively. The analysis and classification of bird singing is difficult because 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 bird songs. For example, an alarm melody, search for food, and also communication between the birds during a flight. This article presents a solution to one of these problems in case when only audio recordings are available.

Keywords

sturnus vulgaris, raspberry, MFCC, python, spectrogram

Authors

LÁZNIČKOVÁ, J.

Released

27. 4. 2021

Publisher

Brno University of Technology, Faculty of Electrical Engineering and Communication

Location

Brno

ISBN

978-80-214-5943-4

Book

PROCEEDINGS II OF THE 27TH STUDENT EEICT 2021 selected papers

Edition

1

Pages from

33

Pages to

36

Pages count

4

URL

https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2021_sbornik_2_v3_DOI.pdf

BibTex

@inproceedings{BUT171588,
  author="Jana {Lázničková}",
  title="Signal Processing for Vocal Recognition of Sturnus Vulgaris",
  booktitle="PROCEEDINGS II OF THE 27TH STUDENT EEICT 2021 selected papers",
  year="2021",
  series="1",
  pages="33--36",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno",
  doi="10.13164/eeict.2021.33",
  isbn="978-80-214-5943-4",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2021_sbornik_2_v3_DOI.pdf"
}