Abstract
In the past few years, people’s attitudes toward early childhood education (PAUD) have undergone a complete transformation. Personalized and intelligent communication methods are highly praised, which also promotes the further focus on timely and effective human–computer interaction. Since traditional English learning that relies on parents consumes more time and energy and is prone to errors and omissions, this paper proposes a system based on a convolution neural network (CNN) and automatic speech recognition (ASR) to achieve an integrated process of object recognition, intelligent speech interaction, and synchronization of learning records in children’s education. Compared with platforms described in the literature, not only does it shoot objects in the real-life environment to obtain English words, their pronunciation, and example sentences corresponding to them, but also it combines the technique of a three-dimensional display to help children learn abstract words. At the same time, the cloud database summarizes and tracks the learning progress by a horizontal comparison, which makes it convenient for parents to figure out the situation. The performance evaluation of image and speech recognition demonstrates that the overall accuracy remains above 96%. Through comprehensive experiments in different scenarios, we prove that the platform is suitable for children as an auxiliary method and cultivates their interest in learning English.
Highlights
Speech plays an uncomplicated but important role in human interaction because it has the ability to deliver useful information quickly and precisely [1]
The present paper contributes to the integration of smart voice commands and augmented reality (AR) in education, which is implemented through a new type of early education platform embedded in the storage box
The main purpose of voice commands that apply in an IOT platform is to exchange information and share resources between terminals whose usages are different without manual control [34]
Summary
Speech plays an uncomplicated but important role in human interaction because it has the ability to deliver useful information quickly and precisely [1]. In most cases, it comes with a heavy dose of memorization, which puts an emphasis on rote-based assessments of words and formulas rather than developing the mind to influence the ways that children see the world It used to be a natural way to make more effective use of children’s time since it provides the quickest path and makes it easier for students to get started. The present paper contributes to the integration of smart voice commands and AR in education, which is implemented through a new type of early education platform embedded in the storage box It is suitable for homes and kindergartens where preschool education takes place. A summary and possible future improvements are given in the final section
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