A Framework for Secure Speech Recognition
Smaragdis, P.; Shashanka, M.
Audio, Speech, and Language Processing, IEEE Transactions on
Volume 15, Issue 4, May 2007 Page(s):1404 - 1413
Digital Object Identifier   10.1109/TASL.2007.894526
Summary: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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