Simon Gonzalez
I was working as a research assistant focused on sociophonetics at Griffith University when I first met CI Catherine Travis at a conference in Brisbane. Catherine told me about CoEDL’s work, which led me to apply for a Research Fellowship with the Centre, working for Catherine’s Sydney Speaks Project and the Transcription Acceleration Project (TAP) led by CI Janet Wiles.
My application was successful, and I spent about five years working at CoEDL on the development of linguistic technologies for sociophonetic analysis. For example, I helped to develop a web-based application that visualised phonetic patterns of vowel spaces across a range of different demographics, including country of origin, gender and age. I also assisted the implementation of engineering-oriented tools for linguistic applications, such as running Natural Language Processing (NLP) techniques to identify linguistic patterns in different corpora spanning a century of data.
In the last part of my fellowship, I led a project on the acoustic force-alignment of speech data, oriented to the implementation in minority languages, including Australian Aboriginal languages and languages in the Pacific. This project also opened doors to collaboration with researchers in other parts of the world, including the United States, England and New Zealand.
It was a time of unprecedented growth and was invaluable in my career and personal development. CoEDL exemplified what it means to thrive in a field of research while remaining grounded in human connection. In a world where everything is becoming more automated and dependent on machines, developing human connection, networks and, most importantly, friendships is an aspect that we should never lose, especially in academia.
The Centre’s interdisciplinary nature also gave me great exposure to working with colleagues in other research areas of interest. I particularly enjoyed diving into the engineering aspect of language studies and using methods and tools like NLP to address the need in linguistic research to follow efficient data protocols and to process large datasets for accurate results.
I currently work in Business Analysis for the Department of Defence, where I draw on my knowledge of data processing and statistical analysis for my every-day tasks. My interest in the engineering aspect of data has also allowed me to grow more in areas such as Machine Learning and Artificial Intelligence. I strongly believe that my exposure to other technical fields through interdisciplinary collaboration at CoEDL was fundamental for taking this path. For this I am very grateful.