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Austin Jones

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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:

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

 

 

 

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/10.21437/Interspeech.2024-317 

Miller, S. E., Brailey-Jones, A., & Renwick, M. E. (2022). Postlexical palatalization of/d/across word boundaries in UK English. In Proceedings of Meetings on Acoustics (Vol. 50, No. 1). AIP Publishing. https://doi.org/10.1121/2.0001736

Awards and Special Recognitions:

UGA AI Research Day 2022 - Best Poster Award for Application of Deep Learning to the Classification of Palatalized [t] in UK English.

SECOL 90 Presentation - Comparing Palatalization of /t d/ across Word Boundaries in UK English.

Courses Taught:
Articles Featuring Austin Jones

As part of Dr. Keith Langston’s NSF grant, this summer some faculty and graduate students collaborated and presented on their project “Endangered Languages in Contact in Istria and Kvarner, Croatia (ELIC)” at two different conferences.

 

Major Professor:

Committee Members

Arch Professor in World Languages and Cultures
(706) 542-2115‬

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