基于语音的非母语人士身份验证

H. Wei, Jian Yang
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引用次数: 0

摘要

说话人身份验证是一种有用的生物特征识别方法。母语验证取得了一些较好的效果。但非母语人士的验证仍然是一项具有挑战性的任务,因为各种各样的非母语口音。基于两个语言语料库,一个母语语料库和一个非母语语料库,采用说话人适应的方法。结合传统的说话人身份验证和连接数字连续语音识别技术,进行了非母语说话人身份验证实验。最后的实验结果证明了该组合判断策略的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Non-Native Speaker Identity Verification Based on Speech
Speaker identity verification is an useful biometric recognition approach. Native speaker verification has achieved some better effects. But non-native speaker verification remains a challenging task because of wide varieties of non-native accents. Based on two speech corpus, one native speech corpus and one non-native corpus, by means of speaker adaptation. Combined with traditional speaker verification and connected digits continuous speech recognition techniques, non-native speaker identity verification experiments are performed. The combined judging strategy is proved to be more effective by the final experimental results.
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