Privacy-Preserving Speech Recognition-Reference-Cited by-同舟云学术

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Privacy-Preserving Speech Recognition

Published:2021 Issue: Volume: Page:1-6
ISSN:
Container-title:Encyclopedia of Machine Learning and Data Science
language:
Short-container-title:

Author:

Vargas Martin Miguel,Hung Patrick C. K.

Publisher

Springer US

Link

https://link.springer.com/content/pdf/10.1007/978-1-4899-7502-7_984-1

Reference31 articles.

1. Aloufi R, Haddadi H, Boyle D (2019) Privacy preserving speech analysis using emotion filtering at the edge: poster abstract. In: Proceedings of the 17th conference on Embedded Networked Sensor Systems (SenSys’ 19). Association for Computing Machinery, New York, NY, USA, pp 426–427

2. Aloufi R, Haddadi H, Boyle D (2020) Privacy-preserving voice analysis via disentangled representations, CCSW 2020. In: Proceedings of the 2020 ACM SIGSAC Conference on Cloud Computing Security Workshop, pp 1–14

3. Alqassem I, Svetinovic D (2014) A taxonomy of security and privacy requirements for the Internet of Things (IoT), International Conference on Industrial Engineering and Engineering Management, pp 1244–1248

4. Anand SA, Walker P, Saxena N (2019) Compromising speech privacy under continuous masking in personal spaces. In: 2019 17th international conference on Privacy, Security and Trust, PST 2019 – Proceedings, art. no. 8949053

5. Arora P, Chaspari T (2018) Exploring Siamese neural network architectures for preserving speaker identity in speech emotion classification. In: Proceedings of the 4th workshop on Multimodal Analyses Enabling Artificial Agents in Human-Machine Interaction, MA3HMI 2018 – In conjunction with ICMI 2018, pp 15–18

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