语音触发系统采用模糊逻辑

E. Manor, S. Greenberg
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引用次数: 5

摘要

本文提出了一种基于关键字的说话人识别技术的语音触发系统。语音触发系统必须能够在不使用计算要求很高的语音识别器的情况下执行关键字识别和说话人识别,以正确触发具有低计算功耗的移动设备。本文提出了一种模糊逻辑系统对说话人语音特征进行分类。基于希伯来语词库的实验表明,与传统方法相比,基于模糊的方法具有较低的识别误差,同时最大限度地减少了功耗和占地面积。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Voice trigger system using fuzzy logic
In this paper, we propose a voice trigger system using a keyword-dependent speaker recognition technique. The voice trigger system must be able to perform keyword recognition, as well as speaker recognition, without using computationally demanding speech recognizer, to properly trigger a mobile device with low computational power consumption. This paper presents a fuzzy logic system to classify the speaker voice features. Experiments using a Hebrew word bank show that the fuzzy based method performs with low recognition error while highly minimizing the power and area footprint comparing to conventional methods.
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