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State-of-the-art in speaker recognition

机译：说话人识别的最新技术

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Recent advances in speech technologies have produced new tools that can be used to improve the performance and flexibility of speaker recognition. While there are few degrees of freedom or alternative methods when using fingerprint or iris identification techniques, speech offers much more flexibility and different levels to perform recognition: the system can force the user to speak in a particular manner, different for each attempt to enter. Also, with voice input, the system has other degrees of freedom, such as the use of knowledge/codes that only the user knows, or dialectical/semantical traits that are difficult to forge. This paper offers an overview of the state-of-the-art in speaker recognition, with special emphasis on the pros and cons, and the current research lines. The current research lines include improved classification systems, and the use of high level information by means of probabilistic grammars. In conclusion, speaker recognition is far away from being a technology where all the possibilities have already been explored.
机译：语音技术的最新进展产生了可用于提高说话者识别性能和灵活性的新工具。尽管使用指纹或虹膜识别技术时自由度或替代方法很少，但语音提供了更大的灵活性和不同的级别来执行识别：系统可以强制用户以特定的方式讲话，每次尝试输入时都会有所不同。同样，利用语音输入，系统具有其他自由度，例如仅用户知道的知识/代码的使用，或难以伪造的辩证/语义特征。本文概述了说话人识别的最新技术，特别强调了利弊以及当前的研究方向。当前的研究方向包括改进的分类系统，以及通过概率语法使用高级信息。总之，说话者识别远不是一项已经探索了所有可能性的技术。

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