Privacy and Utility of X-Vector Based Speaker Anonymization-Reference-Cited by-同舟云学术

Privacy and Utility of X-Vector Based Speaker Anonymization

Published:2022 Issue: Volume:30 Page:2383-2395
ISSN:2329-9290
Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
language:
Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

Srivastava Brij Mohan Lal¹^ORCID,Maouche Mohamed¹,Sahidullah Md²^ORCID,Vincent Emmanuel²^ORCID,Bellet Aurelien¹,Tommasi Marc¹,Tomashenko Natalia³,Wang Xin⁴^ORCID,Yamagishi Junichi⁴^ORCID

Affiliation:

1. Inria, CNRS, Centrale, Univ. Lille, Lille, France

2. Université de Lorraine, CNRS, Inria, LORIA, Nancy, France

3. Laboratoire Informatique d' Avignon (LIA), Avignon Université, Avignon, France

4. National Institute of Informatics, Tokyo, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Link

http://xplorestaging.ieee.org/ielx7/6570655/9657755/09829284.pdf?arnumber=9829284

Reference52 articles.

1. Robust signal-to-noise ratio estimation based on waveform amplitude distribution analysis

2. Speaker anonymization — Representation, evaluation and formal guarantees;srivastava,2021

3. Librispeech: An ASR corpus based on public domain audio books

4. Probing the Information Encoded in X-Vectors

5. Affinity propagation: Clustering data by passing messages;dueck,2009

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