Andrea Maria Cunningham

Processed and refined large-scale monolingual text datasets, ensuring data quality and accuracy. Evaluated AI-generated text outputs, contributing to data validation and model fine-tuning.

Extracted and annotated semantic information from user-bot interactions using label ontologies. Optimized spoken dialogue system performance through detailed linguistic analysis.

Annotated and organized speech datasets from field recordings of native Crow speakers for language documentation. Ensured structural consistency for dictionary integration.

Planned and taught English lessons to students aged 11 to 17. Engaged students in cultural immersion activities to enhance their linguistic competence.

Managed the data pipeline for curating, processing, and analyzing speech data for digital hearing aid testing. Used Praat to annotate phonological and prosodic features and conducted scheduling and audiometry and otoscopy exams.

Activities and societies: Thesis title: Decoding the Baroque: Development of a Novel Dataset for Transformer-Based Harmonic Analysis of Flute Music.

Focused on Natural Language Processing, Python, research methods, deep learning, and machine learning algorithms. Studied speech processing and statistical methods for data analysis.

Grade: 3.76 out of 4.0

Completed a double major in Flute Performance and Linguistics, gaining comprehensive knowledge in both artistic and analytical disciplines. Coursework included music theory, performance techniques, and linguistic analysis.