I'm Willy Mateo,

In my journey as a Computer Science Engineer from ESPOL, I gained a comprehensive foundation in various areas of software development and technology. My education provided me with a deep understanding of Object-Oriented Programming and Data Structures, essential for building scalable and maintainable software solutions. I developed a strong grasp of Software Design principles and Database Systems, which are critical for designing efficient, robust applications. Courses in Systems Programming, Operating Systems, and Algorithms Analysis enhanced my ability to create optimized and high-performance systems. I also explored Web and Mobile Software Development, learning how to build responsive, user-friendly applications. My studies included Information Security, ensuring I understand how to protect systems and data, and Programming Languages, allowing me to work across different development environments. Additionally, I studied Software Engineering, Artificial Intelligence, and Distributed Systems and Cloud Computing, which provided insights into creating intelligent and distributed applications. My education also covered the Management of IT Projects and Information Systems, equipping me with the skills to lead technology projects and manage information effectively in a business context.

During my studies at Carrera Sánchez Bruno high school, where I specialized in computer systems, I gained essential foundational knowledge in various areas of software development. I learned the principles of Object-Oriented Programming, which helped me understand how to structure and organize code effectively. I also delved into Algorithms Analysis, which taught me how to optimize and improve the efficiency of solutions. Additionally, I acquired a solid grasp of the basics of Web Development, enabling me to build functional and responsive websites.

In the realm of verbal communication, most common non-clinical speech disfluencies are filler words and filled pauses, which pose challenges for effective oral presentations. Yet their detection is no easy task. This article presents the usage of OpenAI’s Whisper for filled pauses and filler words detection in Spanish oral presentations, including on-the-wild usage with undergraduate students. Preliminary results indicate that Whisper demonstrates promise as a valuable tool to identify a substantial amount of filler words and filled pauses. Despite areas of improvement, Whisper serves as a diagnostic tool for assessing disfluences in oral communication.