基于语音识别系统的智能自动起动发动机

W. Astuti, E. Byan Wahyu Riyandwita
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引用次数: 11

摘要

车辆钥匙提供了进入车辆、进入点火装置和实际启动汽车的主要功能。基于语音的起动发动机访问控制系统通过用特定用户的语音代替钥匙,有可能取代这些主要功能。在所建议的系统中,可以简单地通过注册用户对附在系统上的麦克风讲话的方式来授权访问。然后,该系统将决定这个词是“开”还是“关”。决策语音将被发送到Arduino,以激活汽车继电器,该继电器将用于激活发动机的电机启动器。在此基础上,采用智能系统的方法开发了基于语音的授权词模型。该系统特别采用了基于支持向量机的分类系统对授权词进行识别。实验结果验证了基于Mel-Frequency cepal Coefficient (MFCC)和支持向量机(svm)的智能自动语音起动发动机访问控制系统的有效性,训练和测试准确率分别达到100%和92.15%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent automatic starting engine based on voice recognition system
A vehicle key provides the main functions for accessing the vehicle, accessing the ignition mechanism, and the ability to actually start the car. Voice based starting engine access control system potentially replaces these main functions by replacing the key with the specific user voice. In the proposed system, the access may be authorized simply by means of an enrolled user speaking into a microphone attached to the system. The proposed system then will decide whether the word is `On' or `Off'. The decision voice will be sent to Arduino in order to activate the automotive relay, which will be used to activate the engine's motor starter. Furthermore, the intelligent system approach is used to develop authorized words model based on the voice. Particularly Support Vector Machines based classification system is used in the proposed system to identify the authorized words. Experimental results confirm the effectiveness of the proposed intelligent Automatic voice-based starting engine access control system based on Mel-Frequency Ceptral Coefficient (MFCC) and Support Vector Machines (SVMs), since it resulting the training and testing accuracy of 100% and 92.15%, respectively.
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