Computational Acoustic Analysis Of Prosodic Features In English Speech Insights From LLM-DL Model: P

This volume, 'A Computational Acoustic Analysis of Prosodic Features in Pakistani English Speech: Insights from Large Language and Deep Learning Models', represents a timely and innovative contribution to the field. By integrating computational acoustic methods with large language and deep learning models, the research advances both linguistic theory and applied technology. It demonstrates how machine learning can illuminate subtle prosodic distinctions, while also underscore the importance of documenting and analyze local varieties of English within global frameworks. This study seeks to advance our understanding of Pakistani English prosody by employing computational acoustic techniques integrated with large language models (LLMs) and deep learning (DL) frameworks. The methodological orientation reflects a commitment to both empirical rigor and technological innovation. By analyzing speech data through advanced computational models, the research provides insights into the distinctive prosodic contours of Pakistani English, while also demonstrating the applicability of machine learning approaches to linguistic inquiry.