A Roadmap for Privacy Preserving Speech Processing

Conference paper

Wall, J., Glackin, C., Chollet, G., Dugan, N., Cannings, N., Tahir, S., Ghosh Ray, I, Rajarajan, M., Falkner, R. and Badii, A. 2016. A Roadmap for Privacy Preserving Speech Processing. Preserving Privacy in an Age of Increased Surveillance – A Biometrics Perspective. London, UK 17 - 17 Oct 2016
AuthorsWall, J., Glackin, C., Chollet, G., Dugan, N., Cannings, N., Tahir, S., Ghosh Ray, I, Rajarajan, M., Falkner, R. and Badii, A.
TypeConference paper
Abstract

This paper presents an overview of a strategy
for enabling speech recognition to be performed in the
cloud whilst preserving the privacy of users. The strategy
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-based
language modelling to perform the speech recognition
task. The paper details the proposed client-side acoustic
model components, and the proposed server-side
searchable encryption which will be the basis of the
language modelling. Some preliminary results are
presented, and potential problems and their solutions
regarding the encrypted communication between client
and server are discussed. Preliminary benchmarking
results with acceleration of the client and server
operations with GPGPU computing are also presented.

KeywordsSpeech Recognition; Privacy; Searchable Encryption; GPGPU Computing
Year2016
ConferencePreserving Privacy in an Age of Increased Surveillance – A Biometrics Perspective
Accepted author manuscript
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Publication process dates
Completed17 Oct 2016
Deposited18 Sep 2019
FunderInnovate UK
Copyright holder© 2016 The Authors. All Rights Reserved.
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