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

Enhanced Multilingual Speaker Recognition through the Incorporation of High-Level Features, Late Fusion and Discriminative Classification Methods
通过结合高级特征、后期融合和判别性分类方法增强多语言说话人识别
批准号:
DP0557387
负责人:
Em/Prof Sridha Sridharan
金额:
$11.24万
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2005
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2005-02-16 至 2008-06-30

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中文摘要
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英文摘要
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.
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海外基金