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Reversible Speech De-identification Using Parametric Transformations and Watermarking

  • Aitor Valdivielso
  • Daniel Erro
  • Inma Hernaez
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10077)

Abstract

This paper presents a system capable of de-identifying speech signals in order to hide and protect the identity of the speaker. It applies a relatively simple yet effective transformation of the pitch and the frequency axis of the spectral envelope thanks to a flexible wideband harmonic model. Moreover, it inserts the parameters of the transformation in the signal by means of watermarking techniques, thus enabling re-identification. Our experiments show that for adequate modification factors its performance is satisfactory in terms of quality, de-identification degree and naturalness. The limitations due to the signal processing framework are discussed as well.

Notes

Acknowledgements

This work has been partially funded by the Spanish Ministry of Economy and Competitiveness (RESTORE project, TEC2015-67163-C2-1-R MINECO/FEDER,UE) and the Basque Government (ELKAROLA, KK-2015/00098).

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.AholabUniversity of the Basque Country (UPV/EHU)BilbaoSpain
  2. 2.IKERBASQUE, Basque Foundation for ScienceBilbaoSpain

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