中圖分類號： U231.92,；TP39
文獻標(biāo)識碼： A
DOI： 10.19358/j.issn.2096-5133.2022.06.012
引用格式： 周楊,，錢雪軍. 地鐵運營崗位應(yīng)急處置培訓(xùn)的語音識別研究[J].信息技術(shù)與網(wǎng)絡(luò)安全，2022,，41(6)：73-76,，93.

Speech recognition research on emergency disposal training for subway operation positions

Abstract： Metro transportation operation is a holistic activity, and it is inseparable from the coordination and cooperation between various departments. The subway operation post emergency response training system is used for joint training of multiple posts. The system needs voice recognition to simulate the function of voice interaction between posts and intelligent evaluation of the training process. The speech recognition method proposed in this paper realizes high recognition accuracy of subway training terminology under offline network. Using deep fully convolutional neural network (DFCNN) and connectionist temporal classification (CTC) technology to build acoustic models, collating and constructing professional terminology bases for emergency disposal training terms, and building language models based on statistics and terminology banks. Experimental results show that the speech recognition technology can effectively identify training terms and provide more comprehensive evaluation indicators for the training and assessment of personnel in operational positions.

Key words : metro emergency disposal training; speech recognition; convolutional neural networks