Voice code verification algorithm using competing models for user entrance authentication

Heungkyu Lee, Hanseok Ko

Research output: Contribution to journalConference articlepeer-review


In this paper, we propose a voice code verification method for an intelligent surveillance guard robot, wherein a robot prompts for a code (i.e. word or phrase) for verification. In the application scenario, the voice code can be changed every day for security reasoning and the targeting domain is unlimited. Thus, the voice code verification system not only requires the text-prompted and speaker independent verification, but also it should not require an extra trained model as an alternative hypothesis for log-likelihood ratio test because of memory limitation. To resolve these issues, we propose to exploit the subword based anti-models for log-likelihood normalization through reusing an acoustic model and competing with voice code model. The anti-model is automatically produced by using the statistical distance of phonemes against a voice code. In addition, a harmonics-based spectral subtraction algorithm is applied for a noisy robust system on an outdoor environment. The performance evaluation is done by using a common Korean database, PBW452DB, which consists of 63,280 utterances of 452 isolated words recorded in silent environment.

Original languageEnglish
Pages (from-to)610-622
Number of pages13
JournalLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Publication statusPublished - 2004
Event17th Australian Joint Conference on Artificial Intelligence, AI 2004: Advances in Artificial Intelligence - Cairns, Australia
Duration: 2004 Dec 42004 Dec 6

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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