Construction of Daily Communicative Spoken Corpus of People with Different Educational Levels Combined with Intelligent Speech Recognition

In order to improve the training effect of communicative spoken, this paper constructs a daily communicative spoken corpus suitable for of people with different educational levels by combining intelligent speech technology. For the spoken information retrieval of corpus, the information retrieval method adopted in this paper is a concrete implementation method for obtaining similar data. In order to avoid excessive redundancy of codes and reduce the cost of system maintenance, the design follows the principle of high cohesion and low coupling. In addition, in order to promote the intelligent learning effect of corpus, the intelligent adaptation function of corpus is developed, which includes three main techniques: difficulty grading, difficulty labeling and difficult sentence replacement. These techniques provide reference information for adaptation at different levels. After constructing a corpus model, the effect of the model is verified, and the effectiveness of this method is verified by comparative experiments.