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Subword-based speaker verification using multiple-classifier fusion, with channel, fusion, model and threshold adaptation
Subword-based speaker verification using multiple-classifier fusion, with channel, fusion, model and threshold adaptation
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机译:使用多分类器融合,基于通道,融合,模型和阈值自适应的基于子词的说话人验证
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摘要
The voice print system of the present invention is a subword-based, text-dependent automatic speaker verification system that embodies the capability of user-selectable passwords with no constraints on the choice of vocabulary words or the language. An estimate of the enrollement channel and of the test channel is developed for inverse filtering of the enrollment or the test speech, respectively. Automatic blind speech segmentation allows speech to be segmented into subword units without any linguistic knowledge of the password. Subword modeling is performed using a multiple classifiers. The system also takes advantage of such concepts as multiple classifier fusion and data resampling to successfully boost the performance. Key word/key phrase spotting is used to optimally locate the password phrase. Numerous adaptation techniques increase the flexibility of the base system, and include: channel adaptation, fusion adaptation, model adaptation and threshold adaptation.
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