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首页> 外文会议>IEEE Workshop Interactive Voice Technology for Telecommunications Applications >Speaker recognition in telecom applications
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Speaker recognition in telecom applications

机译：电信应用中的扬声器识别

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Now that speech driven information services are developing into transaction systems the interest in speaker recognition has been increasing. Based on research carried out in the EU funded projects CAVE and PICASSO a number of issues are identified that have a direct impact on real-world applications of the speaker recognition (SR). In this paper technical issues are addressed first, followed by human factors issues. Then we identify a number of factors that are critical to the success of applications of SR in telematics transaction services. It is explained why SR, as a behavioural biometric protection technique, cannot provide very high security when it is used on its own. Therefore, due attention must be paid to a proper design of the services, taking security into account from the very start. In addition, it appears that SR can play a major role in making spoken language interfaces more user friendly. The paper ends with some conclusions and recommendations.
机译：现在，语音驱动信息服务正在发展到交易系统中，扬声器识别的兴趣已经增加。基于欧盟资助的项目洞穴和毕加索的研究基于欧盟资助的项目洞穴和毕加索，确定了对扬声器识别（SR）的现实世界应用有直接影响的问题。在本文中，首先解决了技术问题，其次是人为因素问题。然后，我们确定了许多因素对SR在远程信息处理交易服务中的应用成功至关重要。它被解释为什么SR作为行为生物识别保护技术，不能在自己使用时提供非常高的安全性。因此，必须关注适当的服务设计，从一开始就考虑安全。此外，似乎SR可以在制作语言界面时发挥重要作用，更多用户友好。本文结束了一些结论和建议。

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