Generating identities with mixture models for speaker anonymization-Reference-Cited by-同舟云学术

Generating identities with mixture models for speaker anonymization

Author:

Turner Henry^ORCID,Lovisotto Giulio^ORCID,Martinovic Ivan

Funder

Engineering and Physical Sciences Research Council

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference29 articles.

1. A discriminative approach for speaker selection in speaker de-identification systems;Abou-Zleikha,2015

2. Neural voice cloning with a few samples;Arik,2018

3. Convolutional Neural Network Based Speaker De-Identification, Vol. 2016;Bahmaninezhad,2018

4. VoxCeleb2: Deep speaker recognition;Chung,2018

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