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A Reverse Turing Test using speech

Abstract:

"Hackers" have written malicious programs to exploit online services intended for human users. As a result, service providers need a method to tell whether a web site is being accessed by a human or a machine. We expect a parallel scenario as spoken language interfaces become common. In this paper, we describe a Reverse Turing Test (i.e., an algorithm that can distinguish between humans and computers) using speech. We present a test that depends on the fact that human recognition of distorted...

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Publication status:
Published
Peer review status:
Not peer reviewed
Version:
Author's Original

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Institution:
"Bell Laboratories, Lucent Technologies, Murray Hill, NJ, USA"
More by this author
Institution:
"Bell Laboratories, Lucent Technologies, Murray Hill, NJ, USA"
More by this author
Institution:
"Bell Laboratories, Lucent Technologies, Murray Hill, NJ, USA"
Publisher:
International Speech Communication Association (ISCA) Publisher's website
URN:
uuid:e4077fbd-5a14-4a8a-9306-745b551a014c
Local pid:
ora:1450

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