|
ИСТИНА |
Войти в систему Регистрация |
ИСТИНА ИНХС РАН |
||
Methods for Training Convolutional Neural Networks to Identify Bird Species in Complex Soundscape Recordingsстатья
- Автор: Dmitiev K.V.
- Журнал: CEUR Workshop Proceedings
- Том: 3740
- Год издания: 2024
- Издательство: M. Jeusfeld c/o Redaktion Sun SITE, Informatik V, RWTH Aachen
- Местоположение издательства: Aachen, Germany
- Первая страница: 2044
- Последняя страница: 2052
- Номер статьи: 193
- Аннотация: The task of bird species identification is very important in ecosystem monitoring. Modern methods based on the use of deep learning will allow such research to be carried out cheaply and on a regular basis. However, creating such algorithms is not an easy task due to the wide variety of birds, their calls, recording conditions, and equipment used. In this paper, some methods are presented for training Convolutional Neural Networks (CNNs) that improve the effectiveness of these models. This includes recording length standardization, data augmentation, mixing, sample selection, and weighting.
- Добавил в систему: Дмитриев Константин Вячеславович