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首页> 外文期刊>International Journal of Electrical and Computer Engineering >Voice-Based Door Access Control System Using the Mel Frequency Cepstrum Coefficients and Gaussian Mixture Model
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Voice-Based Door Access Control System Using the Mel Frequency Cepstrum Coefficients and Gaussian Mixture Model

机译：基于梅尔频率倒谱系数和高斯混合模型的基于语音的门禁系统

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摘要

Access to an area or environment can be controlled by conventional and electronic keys, identity cards, personal identification numbers (PINs) pads and smartcards. Due to certain limitations of existing door access schemes deployed for security in buildings, this paper presents speaker recognition for building security as a better means of admission into important places. This is proposed due mainly to the fact that speech cannot be stolen, copied, forgotten, lost or guessed with accuracy. This paper, therefore presents design of an affordable voice activated door control system for building security. The proposed system uses the Mel Frequency Cepstrum and the Gaussian Mixture Model for feature extraction and template pattern matching respectively. The analysis of the result which is based on the false acceptance and rejection rates indicate a system accuracy of more than 80%.
机译：可以通过常规和电子钥匙，身份证，个人识别码（PIN）垫和智能卡来控制对区域或环境的访问。由于用于建筑物安全的现有门禁方案的某些局限性，本文提出了对建筑物安全的演讲者认可，作为进入重要场所的一种更好的方法。提出该建议主要是由于以下事实：语音不能被准确地窃取，复制，遗忘，丢失或猜测。因此，本文提出了一种价格合理的语音激活门控制系统，用于建筑物安全。提出的系统使用梅尔频率倒谱和高斯混合模型分别进行特征提取和模板模式匹配。基于错误接受和拒绝率的结果分析表明系统精度超过80％。

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