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Mohammed Gamal Ragab, Said Jadid Abdulkadir, Norshakirah Aziz, Hitham Alhussian, Abubakar Bala and Alawi Alqushaibi
With the growth of deep learning in various classification problems, many researchers have used deep learning methods in environmental sound classification tasks. This paper introduces an end-to-end method for environmental sound classification based on ...
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Samuel R. Freeze, Masoud Shirazi, Nicole Abaid, Mark Ford, Alexander Silvis and Dawn Hakkenberg
Ultrasonic bat detectors are useful for research and monitoring purposes to assess occupancy and relative activity of bat communities. Environmental ?clutter? such as tree boles and foliage can affect the recording quality and identification of bat echol...
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Loris Nanni, Sheryl Brahnam, Alessandra Lumini and Gianluca Maguolo
The classifier system proposed in this work combines the dissimilarity spaces produced by a set of Siamese neural networks (SNNs) designed using four different backbones with different clustering techniques for training SVMs for automated animal audio cl...
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Vasileios Bountourakis, Lazaros Vrysis, Konstantinos Konstantoudakis and Nikolaos Vryzas
Temporal feature integration refers to a set of strategies attempting to capture the information conveyed in the temporal evolution of the signal. It has been extensively applied in the context of semantic audio showing performance improvements against t...
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Anita Gidlöf-Gunnarsson and Evy Öhrström
The present paper explores the influence of the physical environmental qualities of ?quiet?. courtyards (degree of naturalness and utilization) on residents? noise responses. A questionnaire study was conducted in urban residential areas with road-traffi...
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