In-class species classification based on animal sounds is a highly challenging task even with the latest deep learning technique applied. The difficulty of distinguishing the species is …
J Xie, M Zhu - Ecological Informatics, 2019 - Elsevier
Automated classification of calling bird species is useful for large-scale temporal and spatial environmental monitoring. In this paper, we investigate acoustic features, visual features …
Adopting a deep learning model into bird sound classification tasks becomes a common practice in order to construct a robust automated bird sound detection system. In this paper …
This paper presents an improved approach to train models that can be used to accurately predicting animal presence based on its sound with a limited dataset. Currently, deep …
In this work, we present an ensemble for automated audio classification that fuses different types of features extracted from audio files. These features are evaluated, compared, and …
In this paper we present ensembles of classifiers for automated animal audio classification, exploiting different data augmentation techniques for training Convolutional Neural …
Animal sound classification (ASC) refers to the automatic identification of animal categories by sound, and is useful for monitoring rare or elusive wildlife. Thus far, deep-learning-based …
K Ko, S Park, H Ko - … Conference of the IEEE Engineering in …, 2018 - ieeexplore.ieee.org
Pattern classification based on deep network outperforms conventional methods in many tasks. However, if the database for training exhibits internal representation that lacks …
J Xie, K Hu, M Zhu, J Yu, Q Zhu - IEEE Access, 2019 - ieeexplore.ieee.org
Automatic bird sound classification plays an important role in monitoring and further protecting biodiversity. Recent advances in acoustic sensor networks and deep learning …