PRIVACY PRESERVING ENCRYPTED PHONETIC SEARCH OF SPEECH DATA

被引：0

作者：

Glackin, Cornelius ^{[1
]}

Chollet, Gerard ^{[1
]}

Dugan, Nazim ^{[1
]}

Cannings, Nigel ^{[1
]}

Wall, Julie ^{[2
]}

Tahir, Shahzaib ^{[3
]}

Ray, Indranil Ghosh ^{[3
]}

Rajarajan, Muttukrishnan ^{[3
]}

机构：

[1] Intelligent Voice Ltd, London, England

[2] Univ East London, London, England

[3] City Univ London, London, England

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2017年

基金：

“创新英国”项目;

关键词：

Speech recognition; privacy; searchable encryption; GPGPU computing;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

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.

引用

页码：6414 / 6418

页数：5