The article reviews methods of inference for single and multiple change‐points in time
series, when data are of retrospective (off‐line) type. The inferential methods reviewed for a …

This survey focuses on two challenging speech processing topics, namely: speaker
segmentation and speaker clustering. Speaker segmentation aims at finding speaker …

We consider a general formulation of the multiple change-point problem, in which the data is
assumed to belong to a set equipped with a positive semidefinite kernel. We propose a …

Speaker indexing or diarization is an important task in audio processing and retrieval.
Speaker diarization is the process of labeling a speech signal with labels corresponding to …

In this report we present an overview of the approaches and techniques that are used in the
task of automatic audio segmentation. Audio segmentation aims to find changing points in …

Audio streams, such as news broadcasting, meeting rooms, and special video comprise
sound from an extensive variety of sources. The detection of audio events including speech …