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However, the actual maintenance environment is disturbed by vehicle starting noise, so it is difficult to accurately and intuitively judge the sound. In order to recognize the start-up process of the main voice components of gun control system, a voice recognition algorithm based on improved spectral subtraction noise reduction and multi-type recognition strategy was proposed. Through the analysis of the sound signals of gun control system components and engine, the improved spectral subtraction method is used to reduce the noise of sound samples, and the spectral subtraction parameters are optimized through experiments, which further improves the performance of noise reduction and solves the problem of strong noise interference. A specific recognition strategy is developed by using sliding window correction and short-time energy synchronization detection, which solves the problems of unstable recognition results and multi-type process identification in practical application. Experiments show that the recognition accuracy of this algorithm is 92.4% for the start-up status of each component of gun control system, and it has good recognition performance.