publication . Article . 2008

Review: Speaker segmentation and clustering

Name: Review: Speaker segmentation and clustering
Keywords: Control and Systems Engineering, Signal Processing, Electrical and Electronic Engineering, Software, Computer Vision and Pattern Recognition

M. Kotti; Vassiliki Moschou; Constantine Kotropoulos;

Open Access

Published: 01 May 2008

Publisher: Elsevier

Country: United Kingdom

Summary

Abstract

This survey focuses on two challenging speech processing topics, namely: speaker segmentation and speaker clustering. Speaker segmentation aims at finding speaker change points in an audio stream, whereas speaker clustering aims at grouping speech segments based on speaker characteristics. Model-based, metric-based, and hybrid speaker segmentation algorithms are reviewed. Concerning speaker clustering, deterministic and probabilistic algorithms are examined. A comparative assessment of the reviewed algorithms is undertaken, the algorithm advantages and disadvantages are indicated, insight to the algorithms is offered, and deductions as well as recommendations ar...

doi: 10.1016/j.sigpro.2007.11.017

Subjects

free text keywords: Control and Systems Engineering, Signal Processing, Electrical and Electronic Engineering, Software, Computer Vision and Pattern Recognition, Speech recognition, Speech processing, Speaker recognition, Signal classification, Probabilistic analysis of algorithms, Cluster analysis, Change points, Speaker diarisation, Segmentation, Computer science

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