Ph.D. Candidate Graduate Research Assistant I'm a PhD Candidate studying the intersection of corpus phonetics, machine learning, and phonology. At heart, I'm an acoustic phonetician with an interest in improving our models of speech production. Through study of social and linguistic variables, we can identify stable patterns of variation relevant to computational goals like statistical modeling, automatic speech recognition, and the creation of linguistic corpora. However, these patterns of variation prove difficult to capture at scale when the computational tools used are inflexible or unavailable like in a low-resource language context. My research concerns ways in which machine learning can aid in the detection of variation in order to capture phonetic and phonological patterns. Education Education: PhD in Linguistics - University of Georgia (in progress) MA in Linguistics and English Language Teaching - University of Leeds BA in Linguistics - University of Georgia AA in Foreign Language (Spanish) - Middle Georgia State College Research Areas of Interest: Computational Linguistics Corpus Methods Phonetics and Phonology Sociolinguistics and Language Variation Selected Publications Selected Publications: Jones, A., Hale, J., Renwick, M. E., Vrzic, Z., & Langston, K. (2024). Comparing Kaldi-Based Pipeline Elpis and Whisper for ˇCakavian Transcription. In Field Matters. The Third Workshop on NLP Applications to Field Linguistics (p. 61). 10.18653/v1/2024.fieldmatters-1.8 Tadavarthy, H. V., Jones, A., & Renwick, M. E (2024). Phonological Feature Detection for US English using the Phonet Library. In Proc. Interspeech 2024. https://doi.org/10.21437/interspeech.2024-318 Jones, A., & Renwick, M. E. (2024). Evaluating Italian Vowel Variation with the Recurrent Neural Network Phonet. In Proc. Interspeech 2024. https://doi.org/