基于深度学习的装备作战试验音频数据处理方法研究

Research on Audio Data Processing Method of Equipment Operational Test Based on Deep Learning

开展作战试验时武器装备采集的单兵音频数据中隐含的时间信息是评估装备性能的依据,目前音频数据需要依靠人工处理,效率较低。提出采用深度学习方法识别音频数据中的关键词,提取关键词音频特征信息识别装备状态的变化,依据装备状态改变的起止时间点得到相应的时间信息,从而为武器装备作战试验综合评估提供数据支撑。

Individual audio data is collected in operational test of weapon equipment,and the hidden time information is the basis of evaluating equipment performance.However,the audio data rely on manual processing,which is inefficient.A deep learning method was proposed to identify the key instructions in audio data.The change of equipment was identified by extracting key command audio feature information.The corresponding time index can be obtained according to the starting and ending points of equipment change,and it can provides support for comprehensive evaluation of weapon equipment operational test.