Privacy preserving encrypted phonetic search of speech data

Conference paper

Wall, J., Glackin, C., Chollet, G., Dugan, N., Cannings, N., Tahir, S., Ghosh Ray, I. and Rajarajan, M. 2017. Privacy preserving encrypted phonetic search of speech data. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Louisiana, USA 05 - 09 Mar 2017 IEEE. pp. 6414-6418 https://doi.org/10.1109/ICASSP.2017.7953391
AuthorsWall, J., Glackin, C., Chollet, G., Dugan, N., Cannings, N., Tahir, S., Ghosh Ray, I. and Rajarajan, M.
TypeConference paper
Abstract

This paper presents a strategy for enabling speech recognition to be performed in the cloud whilst preserving the privacy of users. The approach advocates a demarcation of responsibilities between the client and server-side components for performing the speech recognition task. On the client-side resides the acoustic model, which symbolically encodes the audio and encrypts the data before uploading to the server. The server-side then employs searchable encryption to enable the phonetic search of the speech content. Some preliminary results for speech encoding and searchable encryption are presented.

Year2017
Conference2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
PublisherIEEE
Accepted author manuscript
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Anyone
Publication dates
Print19 Jun 2017
Publication process dates
Deposited18 Sep 2019
ISSN2379-190X
Book title2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
ISBN978-1-5090-4117-6
FunderInnovate UK
Digital Object Identifier (DOI)https://doi.org/10.1109/ICASSP.2017.7953391
Web address (URL) of conference proceedingshttps://doi.org/10.1109/ICASSP.2017.7953391
Copyright holder© 2017 IEEE. All rights reserved.
Page range6414-6418
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