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DANTE Speaker Recognition Module. An Efficient and Robust Automatic Speaker Searching Solution for Terrorism-Related Scenarios

  • Jesús JorrínEmail author
  • Luis BueraEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11295)

Abstract

The vast amount of data crossing the net with terrorism-related content, including voice, is so immense that the use of powerful filtering/detection tools with great discriminative capacities becomes essential. Although the analysis of this content often ends with some manual inspection, a first filtering process becomes basic. In this direction, we propose a speaker clustering solution based on a speaker identification system. We show that both the speaker clustering and the speaker recognition solution can be used individually to efficiently solve searching tasks in several terrorism-related scenarios.

Keywords

Automatic speaker recognition Speaker identification Speaker verification Automatic speaker clustering 

Notes

Acknowledgements

The work presented in this paper was supported by the European Commission under contract H2020-700367 DANTE [1].

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Nuance Communications, Inc.MadridSpain

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