Intelligent Robot English Speech Recognition Method Based on Online Database

Yong Wu, Guicang Li
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Abstract

In order to solve the problem of low accuracy of traditional English speech recognition, an intelligent robot English speech recognition method based on online database is proposed. A speech recognition device is installed on the intelligent robot as the hardware support for running the speech recognition method. The online English speech standard database is constructed to provide reference data for speech recognition. The real-time speech information is collected, and the speech signal is preprocessed by pre-emphasis, framing, windowing and other steps. According to the principle of speech signal generation, the features of speech signal are extracted, and the results of English speech recognition are obtained by similarity calculation and matching. Compared with the traditional recognition method, the experimental results show that the recognition rate of the optimised speech recognition method is improved by 1.3%, i.e. the recognition accuracy is improved.
基于在线数据库的智能机器人英语语音识别方法
为了解决传统英语语音识别准确率低的问题,提出了一种基于在线数据库的智能机器人英语语音识别方法。在智能机器人上安装语音识别装置,作为运行语音识别方法的硬件支持。构建在线英语语音标准数据库,为语音识别提供参考数据。采集实时语音信息,对语音信号进行预强调、分帧、加窗等步骤的预处理。根据语音信号生成的原理,提取语音信号的特征,通过相似度计算和匹配得到英语语音识别结果。实验结果表明,与传统识别方法相比,优化后的语音识别方法的识别率提高了1.3%,即识别精度提高了。
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