英语语音自动化识别模型设计

Design of automatic recognition model for English speech

传统英语语音合理性自动化识别模型无法准确有效地反映英语语音合理性,获取的结果也不够精确。本文设计了英语语音合理性自动化识别模型,并对该模型进行设计与规划。通过对所采集的语音信号进行加重、分帧、加窗和端点监测的操作处理。将语音信号中的特征参数进行提取,并进行评分计算,最终完成英语语音合理性自动化识别。根据仿真实验结果可知,该设计能够较精确地将英语语音合理性自动化识别出来,识别精准,易用性好。

The traditional automatic recognition model of English speech rationality can not accurately and effectively reflect the rationality of English speech,and the results obtained are not accurate enough.This paper designs an automatic recognition model of English speech rationality,and designs and plans the model.The collected speech signals are processed by weighting,framing,windowing and endpoint monitoring.The feature parameters in the speech signal are extracted,and the score is calculated.Finally,the automatic recognition of English speech rationality is completed.According to the simulation results,the design can recognize the rationality of English speech automatically and accurately,which is easy to use.