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听觉感知说话人识别的情况。

The case for aural perceptual speaker identification.

作者信息

Hollien Harry, Didla Grace, Harnsberger James D, Hollien Keith A

机构信息

The Institute for Advanced Study of the Communication Processes, University of Florida, Gainesville, FL, United States.

English and Foreign Languages, Hyderabad 500 605, India; Department of Linguistics, University of Florida, Gainesville, FL, United States.

出版信息

Forensic Sci Int. 2016 Dec;269:8-20. doi: 10.1016/j.forsciint.2016.08.007. Epub 2016 Aug 28.

Abstract

Once forensic speaker identification (SI) was recognized as an entity, it was predicted that valid computer based identification systems would quickly become a reality. This has not happened and the review to follow will provide some of the reasons why. Notable among them are (1) the sharp underestimation of its complexity and (2) its confounding with speaker verification (SV). Consideration of these (and related) issues will be followed by a brief history about how the need for SI developed and some of the responses to the problem. Since much of the SI development preceded the structuring of appropriate standards, the recommended stop-gap response described here is based on somewhat uncoordinated, but extensive, research. The product of that effort will be reviewed and organized into a platform which supports SI procedures consistent with the forensic model. Also discussed are the standards which have been established, their impact on SI development and its present limitations. How the cited approach interacts both with progress in verification and the developing SI machine-based identification systems also will be considered. Finally, a few suggestions will be made that should assist in upgrading the effectiveness of aural perceptual speaker identification (AP SI).

摘要

一旦法医语音识别(SI)被认定为一个实体,人们就预测基于计算机的有效识别系统将很快成为现实。但这并未实现,接下来的综述将阐述其中的一些原因。其中值得注意的有:(1)对其复杂性的严重低估;(2)它与说话人验证(SV)的混淆。在考虑这些(及相关)问题之后,将简要介绍SI需求的发展历程以及针对该问题的一些应对措施。由于SI的许多发展在适当标准制定之前就已进行,这里所描述的推荐临时应对措施是基于一些虽未协调但广泛的研究。将对该努力的成果进行综述并整理成一个支持与法医模型一致的SI程序的平台。还将讨论已确立的标准、它们对SI发展的影响及其当前局限性。也会考虑所引用的方法如何与验证方面的进展以及正在发展的基于机器的SI识别系统相互作用。最后,将提出一些有助于提高听觉感知语音识别(AP SI)有效性的建议。

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