Mosquito Detection with Neural Networks: The Buzz of Deep Learning

Understand

Many real-world time-series analysis problems are characterised by scarce data.

• Solutions typically rely on hand-crafted features extracted from the time or frequency domain allied with classification or regression engines which condition on this (often low-dimensional) feature vector.
• The huge advances enjoyed by many application domains in recent years have been fuelled by the use of deep learning architectures trained on large data sets.
• This paper presents an application of deep learning for acoustic event detection in a challenging, data-scarce, real-world problem.