摘要
为了解决现有语音识别系统对错误发音识别精度不高的问题,提出并设计了一种发音自动纠错技术。分别通过CCD传感器和TDSP-TF887芯片对系统硬件部分进行了优化设计,软件部分引入DTW算法实现了考场专用错误语音的智能识别。系统测试结果表明,本研究所设计的系统对错误语音的识别准确率高出其他同类系统36.5%,具有很强的实用性。
In order to solve the problem that the existing speech recognition system has low recognition accuracy for wrong pronunciation,an automatic pronunciation correction technology is proposed and designed.The hardware part of the system is optimized through the CCD sensor and TDSP-TF887 chip respectively,and the DTW algorithm is introduced into the software part to realize the intelligent recognition of the special error speech in the examination room.The system test results show that the recognition accuracy of the system designed in this study is 36.5%higher than other similar systems,and has strong practicability.
作者
张晓明
Zhang Xiaoming(Tangshan Personnel Examination Center,Tangshan Hebei 063000)
出处
《现代工业经济和信息化》
2022年第6期62-64,共3页
Modern Industrial Economy and Informationization
关键词
发音纠错
考场语音识别
DTW算法
CCD传感器
pronunciation error correction
speech recognition in examination room
DTW algorithm
CCD sensor