Recently, audio segmentation has attracted research interest because of its usefulness in
several applications like audio indexing and retrieval, subtitling, monitoring of acoustic …

Open Broadcast Media Audio from TV (OpenBMAT) is an open, annotated dataset for the
task of music detection that contains over 27 hours of TV broadcast audio from 4 countries …

Several fast algorithms for clustering very large data sets have been proposed in the
literature. CLARA is a combination of a sampling procedure and the classical PAM …

This thesis aims at investigating and developing techniques for content-based segmentation
and classification of multimedia files, based on audio information. Emphasis has been given …

Detection of speech and music signals in isolated and overlapped conditions is an essential
preprocessing step for many audio applications. Speech signals have wavy and continuous …

When processing audio data, multiple challenges arise, one of them being the diversity of
information present in the audio signal. Various audio segmentation subtasks appeared …

Detecting speech and music is an elementary step in extracting information from radio
broadcasts. Existing solutions either rely on general-purpose audio features, or build on …

State-of-the-art music detection systems, whose aim is to distinguish whether or not music is
present in an audio signal, rely mainly on deep learning approaches. However, these kind of …

Videos contain visual and auditory information. Visual information in a video can include
images of people, objects, and the landscape, whereas auditory information includes voices …

Relative music loudness estimation is a MIR task that consists in dividing audio in segments
of three classes: Foreground Music, Background Music and No Music. Given the temporal …