Month/Year of Graduation


Degree Name

Bachelor of Science (B.S.)


Computer Science

First Advisor

Dr. Harvey Siy


This project aims to improve English pronunciation by investigating speech errors and developing a tool to provide precise feedback. The study focuses on creating a new pronunciation tool that offers localized feedback, identifies specific errors, and suggests corrective measures. By addressing the shortcomings of current methods, this research seeks to enhance pronunciation refinement.

Utilizing cutting-edge technology, the tool leverages speech-to-phoneme AI models and modified lazy string matching algorithms to compare the user's spoken input with the intended pronunciation. This allows for a detailed analysis of discrepancies, providing users actionable insights into their phonetic errors. The speech-to-phoneme AI models mark a significant advancement, facilitating a personalized learning experience that automates some traditional methods used by speech-language pathologists. Through AI integration with a modified Levenshtein algorithm, the tool delivers feedback helping users identify improvement areas with high accuracy.

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.