【摘要】 针对说话人确认中,各目标话者模型输出评分分布不一致而导致系统确认阈值设置的困难,本文采取了通过评分规整确定系统最小检测代价函数(DCF)确认阈值的方法。在分析了已有的两种评分规整方法Z norm a l-ization和T norm a lization的基础上,提出了一种结合两者优点的组合规整方法——TZ norm a lization,并据此给出了一种阈值动态修正方法,有效地提高了系统的性能和阈值选取的鲁棒性。对历年的N IST(手机电话语音)评测语料库进行了实验,表明了该方法的有效性。更多还原

【Abstract】 For better decision-making in a speaker verification system, the threshold achieved by the minimum detection cost function (DCF) is determined. The bimodal distribution parameters of the output score based on the target speaker model are different, so it is difficult to estimate a mutual threshold. This paper proposes a novel score normalization-TZ normalization combined by the traditional zero normalization and the test normalization. Then, to obtain better robustness, a new method is introduced to improve the estimated threshold. Text-independent speaker verification experiments on the telephony NIST speaker recognition evaluation corpus show that the significant improvements for this new technique are effective compared to the traditional techniques.更多还原