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.
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Notes
- 1.
Voice conversion can be seen as a particular case of voice transformation where there is a specific target speaker.
- 2.
PESQ predicts the mean opinion score of a distorted signal in comparison with its original clean version.
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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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Valdivielso, A., Erro, D., Hernaez, I. (2016). Reversible Speech De-identification Using Parametric Transformations and Watermarking. In: Abad, A., et al. Advances in Speech and Language Technologies for Iberian Languages. IberSPEECH 2016. Lecture Notes in Computer Science(), vol 10077. Springer, Cham. https://doi.org/10.1007/978-3-319-49169-1_26
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