Design of an In-Service Safety Data Analysis System for Diesel Locomotives Based on Speech Recognition Technology
This study designs a safety system for diesel locomotives.It uses speech recognition technology.Audio signals are collected from the diesel locomotive under different conditions.The Deep Feedforward Sequential Memory Network-Connectionist Temporal Classification(DFSMN-CTC)model is used to recognize speech.One-class Support Vector Machine(SVM)is used to detect anomalies.The system shows high accuracy and robustness.
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