- Tytuł:
- Application of visual classification algorithms for identification of underwater audio signals
- Autorzy:
-
Gnyś, Piotr
Szczęsna, Gabriela
Domínguez-Brito, Antonio C.
Cabrera-Gámez, Jorge - Powiązania:
- https://bibliotekanauki.pl/articles/23956852.pdf
- Data publikacji:
- 2022
- Wydawca:
- Politechnika Gdańska
- Tematy:
-
audio processing
audio classification
convolutional neural network - Opis:
- An audio processing and classification pipeline is presented in this work. The main focus is on the classification of sounds in a marine acoustic environment, however, the presented approach can be applied to other audio data. Audio samples from heterogeneous sources automatically spliced, normalized and transformed into spectrogram based visual representation are tagged on the pipeline input. The said representation is then used to train a convolutional neural network that can identify the presented categories in future recordings.
- Źródło:
-
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2022, 26, 4
1428-6394 - Pojawia się w:
- TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
- Dostawca treści:
- Biblioteka Nauki
Artykuł