Enhanced Multilingual Speaker Recognition through the Incorporation of High-Level Features, Late Fusion and Discriminative Classification Methods

强大的多语种说话人识别系统的开发将使社区受益，因为它能够实现几种个人身份验证应用程序，例如基于语音的签名和文件发放；通过语音验证信用卡以及安全的电话金融交易，从而消除金融机构和客户造成的欺诈。该技术还将有助于保护社区和保障澳大利亚的安全，使其能够实施以下措施：使用声纹识别嫌疑人；通过使用语音定位和跟踪恐怖分子来打击恐怖主义的国家安全措施；先发制人的犯罪活动反措施；监控和通过语音安全进入建筑物。

The development of robust multilingual speaker recognition systems will benefit the community through the elimination of fraud incurred by financial institutions and customers by enabling several person authentication applications such as: voice based signatures and document issuance; credit card verification by voice and secure over-the-phone financial transactions. The technology will also assist in the protection of the community and safeguard Australia by enabling the implementation of the following: suspect identification using voice print; national security measures for combating terrorism by using voice to locate and track terrorists; preemptive criminal activity counter-measures; surveillance and secure building access by voice.