Abstract
Speech recognition technology, as part of human-computer interaction, is essential for machine intelligence. The utilization of robots as the co-pilot in civil aircraft is the major breakthrough and innovation direction in the civil aviation industry. The application of speech recognition technology to the the robot co-pilot can make the command of the captain directly to the co-pilot program, making it possible to cooperate between the captain and the robot co-pilot. In view of the above background, according a standard callouts speech cropus, using the end-to-end speech recognition methods, three CTC speech recognition models were built. One of the speech recognition models named the Bi-LSTM recurrent neural network speech recognition based on CTC, the training error rate is reduced to 1.2%, and the test error rate is reduced to 3.2%. Therefore, the Bi-LSTM speech recognition model is used as the speech recognition system of the artificial intelligence co-pilot.
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