Design and Development of Chinese Learning APP "MyTalk" Based on Speech Recognition Technology and Contextual Learning Theory

EasyChair Preprint 6307

Abstract

In the context of the growing demand for oral Chinese learning and the widespread acceptance of learning apps, the Chinese learning app "MyTalk" based on speech recognition technology and recursive hierarchical cognition theory was developed and designed. The software is designed for foreigners living in China. There are a total of 18 contextual courses in six themes such as study and work. Through the form of human-machine voice dialogue, following the principles of language block learning, real-time evaluation and feedback are given to users. The whole process focuses on training users' Chinese listening and speaking skills. This article introduces the theoretical background of software development and design, and the design ideas of software in terms of interaction, content, evaluation mechanism and interface. After collecting user feedback, it discussed the current technology's shortcomings in simulating real language application scenarios, and the need to take care of learners' adaptation from "virtual" to "real" in the future.

Keyphrases: Chinese learning, learning app, speech recognition, spoken language

@booklet{EasyChair:6307,
  author    = {Manyun Tang},
  title     = {Design and Development of Chinese Learning APP "MyTalk" Based on Speech Recognition Technology and Contextual Learning Theory},
  howpublished = {EasyChair Preprint 6307},
  year      = {EasyChair, 2021}}