Music Information Research (MIR) comprises all the research topics involved in modeling
and understanding music. Visualizations are frequently adopted to convey better …

Recent developments in sensor technology and computational analysis methods enable
new strategies to measure and interpret lung acoustic signals that originate internally, such …

Automatic urban sound classification is a growing area of research with applications in
multimedia retrieval and urban informatics. In this paper we identify two main barriers to …

In this paper, we present madmom, an open-source audio processing and music information
retrieval (MIR) library written in Python. madmom features a concise, NumPy-compatible …

Passive acoustic monitoring is increasingly being applied to terrestrial, marine and
freshwater environments, providing cost‐efficient methods for surveying biodiversity …

The Web has moved, slowly but steadily, from a collection of documents towards a collection
of structured data. Knowledge graphs have then emerged as a way of representing the …

Recommending music based on a user's music preference is a way to improve user
listening experience. Finding the correlation between the user data (eg, location, time of the …

Effective tools for detection of violence are highly demanded, specially when dealing with
video streams. Such tools have a wide range of applications, from forensics and law …

Audio carry a large amount of life scenes and physical events in the city, therefore,
develo** deep learning approach to automatically extract this information has huge …

In detecting sensitive media, violence is one of the hardest to define objectively, and thus, a
significant challenge to detect automatically. While many studies were conducted in …