<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Identifying birds in audio signals has been a challenge because the marking of certain species influences their classification. The proposed method consists of a mixture of sound processing for extracting useful signals from longer recordings with dynamic energy thresholds, image processing such as filtering and compression through image resizing for the treatment of the spectrogram and multilayer perceptron networks for the classification. The method shows encouraging results and flexibility, allowing the extension to a larger number of species, as well as applications to other fields involving sound or sound-like signals.</p></abstract>

Identifying birds in audio signals has been a challenge because the marking of certain species influences their classification. The proposed method consists of a mixture of sound processing for extracting useful signals from longer recordings with dynamic energy thresholds, image processing such as filtering and compression through image resizing for the treatment of the spectrogram and multilayer perceptron networks for the classification. The method shows encouraging results and flexibility, allowing the extension to a larger number of species, as well as applications to other fields involving sound or sound-like signals.

Identification of Birds Using Spectrogram Image Processing and Artificial Neural Network Classifiers

Faculty of Engineering, Department of Computer Science and Electrical Engineering

Acta Universitatis Cibiniensis. Technical Series

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Identifying birds in audio signals has been a challenge because the marking of certain species influences their classification. The proposed method consists of...

Identification of Birds Using Spectrogram Image Processing and Artificial Neural Network Classifiers

Publié en ligne: 31 déc. 2020

Pages: 12 - 16

DOI: https://doi.org/10.2478/aucts-2020-0002

Mots clés
Identification of Birds, Spectrogram, ANN, Image Processing, Sound Processing

© 2020 Andrei-Ionuț Cheroiu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Identification of Birds Using Spectrogram Image Processing and Artificial Neural Network Classifiers

Publié en ligne: 31 déc. 2020

Pages: 12 - 16

DOI: https://doi.org/10.2478/aucts-2020-0002

Mots clésIdentification of Birds, Spectrogram, ANN, Image Processing, Sound Processing

© 2020 Andrei-Ionuț Cheroiu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
Identification of Birds, Spectrogram, ANN, Image Processing, Sound Processing