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: Queensland University of Technology
• 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
• 起止时间: 2005-02-16 至 2008-06-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0557387
• 关键词: Enhanced; Multilingual; Speaker; Recognition; through

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.

开发强大的多语言说话人识别系统，可使多个身份验证应用（例如：基于声音的签名和文件签发）得以实现，从而消除金融机构和客户产生的欺诈行为，从而造福社会；信用卡语音验证和安全的电话金融交易。该技术还将通过实现以下功能来帮助保护社区和保护澳大利亚：使用声纹识别嫌疑人；利用声音定位、追踪恐怖分子的国家安全措施；先发制人的犯罪活动对策；通过语音监控和安全进入建筑物。