ETRI Journal | |
Impostor Detection in Speaker Recognition Using Confusion-Based Confidence Measures | |
关键词: confidence measure; open-set speaker identification; speaker verification; Speaker recognition; | |
Others : 1185342 DOI : 10.4218/etrij.06.0205.0122 |
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【 摘 要 】
In this letter, we introduce confusion-based confidence measures for detecting an impostor in speaker recognition, which does not require an alternative hypothesis. Most traditional speaker verification methods are based on a hypothesis test, and their performance depends on the robustness of an alternative hypothesis. Compared with the conventional Gaussian mixture model–universal background model (GMM-UBM) scheme, our confusion-based measures show better performance in noise-corrupted speech. The additional computational requirements for our methods are negligible when used to detect or reject impostors.
【 授权许可】
【 预 览 】
Files | Size | Format | View |
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20150520110451212.pdf | 220KB | download |
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