Robust speaker recognition with reduced utterance duration and intersession variability

强大的说话人识别能力，可减少话语持续时间和会话期间的变异性

• 批准号: DP0877835
• 负责人: Em/Prof Sridha Sridharan
• 金额: $ 13.52万
• 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: 2008
• 资助国家: 澳大利亚
• 起止时间: 2008-01-01 至 2012-03-15
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0877835
• 关键词: Robust; speaker; recognition; reduced; utterance

The development of robust and accurate speaker recognition systems will enable secure person authentication in over-the-phone financial transactions and benefit the community through the elimination of identity fraud incurred by customers and financial institutions. The technology will also assist in safeguarding Australia by enabling the implementation of suspect identification using voice and security measures for combating terrorism by using voice to locate and track terrorists. Our research at QUT Speech Research Lab is at the forefront of development in this field and will provide Australia with a technological advantage in the rapidly evolving global market for speaker recognition technology for person authentication applications.

开发强大而准确的说话人识别系统将使电话金融交易中的个人身份认证更加安全，并通过消除客户和金融机构的身份欺诈而使社区受益。该技术还将有助于保护澳大利亚，使其能够使用语音识别嫌疑人，并通过使用语音定位和跟踪恐怖分子来实施打击恐怖主义的安全措施。我们在昆士兰科技大学语音研究实验室的研究是在这一领域的发展前沿，并将为澳大利亚提供一个技术优势，在迅速发展的全球市场的说话人识别技术的个人身份验证应用。