ICASSP 2017accepted0 citations
Privacy preserving encrypted phonetic search of speech data
Cornelius Glackin, Gérard Chollet, Nazim Dugan, Nigel Cannings, Julie A. Wall, Shahzaib Tahir, Indranil Ghosh Ray, Muttukrishnan Rajarajan
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.
BibTeX
@inproceedings{icassp2017_privacypreservin,
title = {Privacy preserving encrypted phonetic search of speech data},
author = {Cornelius Glackin and Gérard Chollet and Nazim Dugan and Nigel Cannings and Julie A. Wall and Shahzaib Tahir and Indranil Ghosh Ray and Muttukrishnan Rajarajan},
booktitle = {ICASSP 2017},
year = {2017}
}