RETRACTED ARTICLE: Vocational education reform based on improved convolutional neural network and speech recognition

Abstract

Speech recognition has become a necessary feature of high-quality service industry products. Therefore, the accuracy and efficiency of speech recognition are the key to product applications. At the same time, this article also designs various modular functions for speech recognition. In order to solve the problem of poor recognition performance when the existing convolutional neural network recognizes continuous speech data, we provide an improved convolutional neural network algorithm and backpropagation algorithm to reduce the weight range. In a real speech recognition system, due to the large amount of training data and model parameter training efficiency of the convolutional neural network is very low. Vocational education reform is an important way to realize modern education, and it is also an effective way to improve students’ comprehensive quality and promote personal development. According to the analysis of the current teaching situation in higher vocational colleges, the effect of vocational education reform has not reached the expected standard. This has led to a decrease in the teaching efficiency of higher vocational colleges, coupled with the increasingly fierce competition in modern society, the reform of higher vocational education has become the top priority of the education department and the school. In order to improve the scientific nature of vocational education reform research, it is necessary to strengthen the research on current and future development trends. The research scope of vocational education reform needs to be coordinated, integrated, and expanded. To strengthen research on the integration of industry and academia, it is necessary to establish a team of experts. The cross-border characteristics of vocational education are reflected in the integration of production and education to a large extent. This article will explore how to realize the reform of vocational education in higher vocational colleges based on the improved convolutional neural network and speech recognition.