论文标题
对说话者识别的几个参数化的比较研究
A comparative study of several parameterizations for speaker recognition
论文作者
论文摘要
本文在说话者验证和识别任务中介绍了有关几个参数化的鲁棒性的详尽研究。我们研究了几个不匹配条件：不同的记录会话，麦克风和不同的语言（已从双语的一组扬声器获得）。这项研究表明，几个参数化的组合可以改善所有任务，识别和验证的所有情况下的鲁棒性。此外，已经评估了两种不同的方法：矢量量化和具有算术谐波球形度量的协方差矩阵。
This paper presents an exhaustive study about the robustness of several parameterizations, in speaker verification and identification tasks. We have studied several mismatch conditions: different recording sessions, microphones, and different languages (it has been obtained from a bilingual set of speakers). This study reveals that the combination of several parameterizations can improve the robustness in all the scenarios for both tasks, identification and verification. In addition, two different methods have been evaluated: vector quantization, and covariance matrices with an arithmetic-harmonic sphericity measure.
