Research and Design of Chinese Oral Learning System Based on Speech Recognition

In the wave of the information age, the rapid development of artificial intelligence is like an unstoppable force, profoundly changing all aspects of our lives. Among them, speech recognition technology has become an important research direction in the field of artificial intelligence due to its intuitive and convenient interaction mode. For Chinese, the world’s most spoken language, researching and designing an efficient and accurate speech recognition system is not only an inevitable requirement for the development of science and technology, but also a powerful measure to promote social progress. First of all, we must recognize the complexity of spoken Chinese. Spoken Chinese not only contains a variety of dialects, but also has rich tonal variations and flexible mood words and pauses, which pose challenges to the accuracy of speech recognition systems. Therefore, when researching and designing a system of spoken Chinese, the first task is to conduct an in-depth analysis of the characteristics of spoken Chinese and establish a comprehensive and detailed language model.