Speaker Verification Experiments using Identity Vectors, on a Romanian Speakers Corpus

Oana-Mariana Novac, Stefan-Adrian Toma, Emil Bureaca
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Abstract

One of the applications of speaker recognition technologies is in the forensics field. It is reasonable to assume that target speakers are not always cooperating, i.e., there are no available recordings, and even if they are, they are not always in the language for which the speaker was enrolled. In this study we present a set of experiments with an identity vector speaker recognition system, trained and tested with a Romanian language corpus (RoDigits), along with an assessment of its performance when there’s mismatch between training and testing language.
使用身份向量的说话人验证实验,在罗马尼亚语说话人语料库上
说话人识别技术的应用之一是在法医领域。可以合理地假设目标发言者并不总是合作,即没有可用的录音,即使有,录音也并不总是以发言者登记使用的语言进行。在本研究中,我们提出了一组身份向量说话人识别系统的实验,该系统使用罗马尼亚语言语料库(RoDigits)进行训练和测试,并对其在训练语言和测试语言之间存在不匹配时的性能进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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