A Framework for Secure Speech Recognition
Smaragdis, P.
Shashanka, M.
Mitsubishi Electr. Res. Labs., Cambridge, MA;
This paper appears in: Audio, Speech, and Language Processing, IEEE Transactions on
Publication Date: May 2007
Volume: 15,
Issue: 4
On page(s): 1404-1413
ISSN: 1558-7916
INSPEC Accession Number: 9413973
Digital Object Identifier: 10.1109/TASL.2007.894526
Current Version Published: 2007-04-23
Abstract
In this paper, we present a process which enables privacy-preserving speech recognition transactions between two parties. We assume one party with private speech data and one party with private speech recognition models. Our goal is to enable these parties to perform a speech recognition task using their data, but without exposing their private information to each other. We will demonstrate how using secure multiparty computation principles we can construct a system where this transaction is possible, and how this system is computationally and securely correct. The protocols described herein can be used to construct a rudimentary speech recognition system and can easily be extended for arbitrary audio and speech processing
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