Animal vocalisations and natural soundscapes are fascinating objects of study, and contain
valuable evidence about animal behaviours, populations and ecosystems. They are studied …

Automatic bird sound classification plays an important role in monitoring and further
protecting biodiversity. Recent advances in acoustic sensor networks and deep learning …

For the conservation of avian biodiversity, bird detection is vital since it allows ornithologists
to quantify which species exist in a particular area. Analyzing their acoustic signals enables …

Bioacoustics play a major role in the field of ornithology, ecology, animal behaviour study,
habitat monitoring, species conservation and design of deterrent system. This work focusses …

Bird sound contains rich ecological information, and its related research results can be
applied to animal behavior analysis, natural information collection and ecological …

Passive acoustic monitoring is usually presented as a complementary approach to
monitoring wildlife communities and assessing ecosystem conditions. Automatic species …

Abstract Automatic Bird Species Recognition System helps ornithologists and researchers to
study particular bird species, effect of climate changes, count of endangered species and …

According to the Indian health line report, 12% of the population suffer from abnormal thyroid
functioning. The major challenge in this disease is that the existence of hypothyroid may not …

The paper address the task of identifying multiple bird species from audio recordings. The
proposed approach uses one of the pre-trained Deep Convolutional Neural Network …

Indonesia is rich in flora and fauna diversity, but it is experiencing an increasing number of
endangered populations. The public can prevent the expanding population threatened with …