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SPEAKER VERIFICATION COMPUTER SYSTEM WITH TEXTUAL TRANSCRIPT ADAPTATIONS OF UNIVERSAL BACKGROUND MODEL AND ENROLLED SPEAKER MODEL
SPEAKER VERIFICATION COMPUTER SYSTEM WITH TEXTUAL TRANSCRIPT ADAPTATIONS OF UNIVERSAL BACKGROUND MODEL AND ENROLLED SPEAKER MODEL
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机译：具有通用背景模型和加密说话人模型的文本转录适应的说话人验证计算机系统
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摘要
A sampled speech data sequence contains words spoken by a speaker. A sequence of feature vectors is generated characterizing spectral distribution of sampled speech data. A textual transcript of the words spoken by the speaker is obtained. Data structures of a universal background model of a Gaussian mixture model (UBM-GMM) and of an Enrolled speaker Gaussian mixture model (ENR-GMM) are adapted responsive to the textual transcript, to generate an adapted UBM-GMM and an adapted ENR-GMM, respectively. An enrolled speaker probability is generated based on the sequence of feature vectors and the adapted ENR-GMM, and a universal speaker probability is generated based on the sequence of feature vectors and the adapted UBM-GMM. A speaker verification indication of whether the speaker is an enrolled speaker is generated by comparing the enrolled speaker probability to the universal speaker probability.
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