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In the mobile Internet era, the use of intelligent mobile terminal equipment will become more and more popular, especially in terms of using mobile phones for information collection in outdoor environments. Speech recognition technology is a very friendly method of interpersonal interaction, and using it for data acquisition will greatly improve collection efficiency. In this study, based on the theory of the HMM model, we build a wild information acquisition system which is based on offline continuous speech recognition through open source tools such as HTK and Sphinx. The system is able to efficiently solve some difficult problems, such as bad signals, inability to recognize rarely used terminology, and low speed of recognition.

Field Information Acquisition System Research Based on Offline Speech Recognition