An English Pronunciation Correction System Based on Signal Processing

With the advancement of globalization, the importance of English as a global lingua franca has grown, making standard English pronunciation a reflection of personal communication skills and international competitiveness.However, non-native English speakers often struggle with pronunciation due to the influence of their mother tongue, which negatively impacts communication effectiveness.To address this, an English pronunciation correction system based on signal processing technology has emerged, aimed at helping learners improve pronunciation accuracy and enhance language learning efficiency.Nonetheless, existing systems still face challenges in areas such as processing complex English speech signals, recognition accuracy, real-time performance, and adaptability.This research proposes two main contributions: the construction of an English speech recognition network based on signal processing to improve recognition accuracy and real-time performance, and the development of a pronunciation correction method that offers precise and personalized feedback.This study not only addresses the shortcomings of current systems but also provides new ideas and methods for the future development of pronunciation correction systems, holding significant theoretical and practical value.