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首页> 外文期刊>International journal of signs and semiotic systems >Genetic Programming for Robust Text Independent Speaker Verification
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Genetic Programming for Robust Text Independent Speaker Verification

机译：遗传编程可实现可靠的文本独立说话人验证

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摘要

Robust Automatic Speaker Verification has become increasingly desirable in recent years with the growing trend toward remote security verification procedures for telephone banking, bio-metric security measures and similar applications. While many approaches have been applied to this problem. Genetic Programming offers inherent feature selection and solutions that can be meaningfully analyzed, making it well suited for this task. This article introduces a Genetic Programming system to evolve programs capable of speaker verification and evaluates its performance with the publicly available TIMIT corpora. Also presented are the effects of a simulated telephone network on classification results which highlight the principal advantage, namely robustness to both additive and convolutive noise.
机译：近年来，随着电话银行，生物特征安全措施和类似应用程序的远程安全验证程序的发展趋势，稳健的自动说话人验证已变得越来越受欢迎。尽管许多方法已应用于此问题。基因编程提供了固有的特征选择和解决方案，可以对其进行有意义的分析，使其非常适合此任务。本文介绍了一种遗传编程系统，用于开发能够进行说话者验证的程序，并使用TIMIT公共语料库对其性能进行评估。还介绍了模拟电话网络对分类结果的影响，这些结果突出了主要优势，即对加性和卷积性噪声的鲁棒性。

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