System, method and computer program product for verifying an identity using voiced to unvoiced classifiers
First Claim
1. A method, comprising:
- using an audio pick up device to capture a speech sample from a claimant claiming an identity; and
using computer software embodied on a computer readable medium to perform the following steps;
calculating a ratio of unvoiced frames to a total number of frames in the speech sample,determining an equal error rate value corresponding to the speech sample based on the calculated ratio,comparing the determined equal error rate value corresponding to the speech sample to an equal error rate value associated with the claimed identity to select a decision threshold,generating a match score based on a comparison of the speech sample to a voice sample associated with the claimed identity, anddeciding whether to accept the identity claim of the claimant based on a comparison of the match score to the decision threshold.
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Accused Products
Abstract
Embodiments of a system, method and computer program product for verifying an identity claimed by a claimant using voiced to unvoiced classifiers are described. In accordance with one embodiment, a speech sample from a claimant claiming an identity may be captured. From the speech sample, a ratio of unvoiced frames to a total number of frames in the speech sample may be calculated. An equal error rate value corresponding to the speech sample can then be determined based on the calculated ratio. The determined equal error rate value corresponding to the speech sample may be compared to an equal error rate value associated with the claimed identity in order to select a decision threshold. A match score may be also be generated based on a comparison of the speech sample to a voice sample associated with the claimed identity. A decision whether to accept the identity claim of the claimant can then be made based on a comparison of the match score to the decision threshold.
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Citations
20 Claims
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1. A method, comprising:
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using an audio pick up device to capture a speech sample from a claimant claiming an identity; and using computer software embodied on a computer readable medium to perform the following steps; calculating a ratio of unvoiced frames to a total number of frames in the speech sample, determining an equal error rate value corresponding to the speech sample based on the calculated ratio, comparing the determined equal error rate value corresponding to the speech sample to an equal error rate value associated with the claimed identity to select a decision threshold, generating a match score based on a comparison of the speech sample to a voice sample associated with the claimed identity, and deciding whether to accept the identity claim of the claimant based on a comparison of the match score to the decision threshold. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A system, comprising:
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an audio pick up device for capturing a speech sample from a claimant claiming a computer readable medium; and a central processing unit interacting with the computer readable medium to perform the following steps; a component, implemented in a computer, capable of; calculating a ratio of unvoiced frames to a total number of frames in the speech sample, determining an equal error rate value corresponding to the speech sample based on the calculated ratio, comparing the determined equal error rate value corresponding to the speech sample to an equal error rate value associated with the claimed identity to select a decision threshold, generating a match score based on a comparison of the speech sample to a voice sample associated with the claimed identity, and deciding whether to accept the identity claim of the claimant based on a comparison of the match score to the decision threshold. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19)
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20. A computer readable medium encoded with computer code that performs the following steps:
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capturing a speech sample from a claimant claiming an identity; calculating a ratio of unvoiced frames to a total number of frames in the speech sample; determining an equal error rate value corresponding to the speech sample based on the calculated ratio; comparing the determined equal error rate value corresponding to the speech sample to an equal error rate value associated with the claimed identity to select a decision threshold; generating a match score based on a comparison of the speech sample to a voice sample associated with the claimed identity; and deciding whether to accept the identity claim of the claimant based on a comparison of the match score to the decision threshold.
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Specification