Recent successes in deep learning have inspired researchers to apply deep neural
networks to Acoustic Event Classification (AEC). While deep learning methods can train …

The goal of estimating a soundscape index, aimed at evaluating the contribution of the
environmental sound components, is to provide an accurate “acoustic quality” assessment of …

Citizen science can serve as a tool to obtain information about changes in the soundscape.
One of the challenges of citizen science projects is the processing of data gathered by the …

Measuring noise in cities and automatically identifying the corresponding sound sources are
a crucial challenge for policymakers. Indeed, such information helps addressing noise …

Eco-acoustic indices allow us to rapidly evaluate habitats and ecosystems and derive
information about anthropophonic impacts. However, it is proven that indices' values and …

Machine listening systems often rely on fixed taxonomies to organize and label audio data,
key for training and evaluating deep neural networks (DNNs) and other supervised …

The well-being of animals holds significant importance in our society. Apart from the ethical
concerns, recent studies have highlighted the correlation of animal growth, reproductive …

Social media reviews play an increasingly important role in ranking the influence of urban
brands. In this study, the public social media review database is mined, and a regression …

While there is the saying of two heads are better than one, having multiple opinions brings
the problem of finding a common ground. For data, multiple annotator opinions are usually …

Urban environments often subject residents to noise levels that pose significant health risks,
including hearing loss, sleep disturbances, and decreased cognitive function. To address …