Linguistic Analysis of AI-Generated Content
“Whereas humans naturally emphasize on natural speech patterns, including vowel reduction, Speechify focuses on pronouncing every letter pictured, resulting in more precise but less accurate pronunciation.”
- Group finding
For this topic, students gained a broader perspective on the intricate relationship between human language and AI technology by exploring both its scientific foundations and cutting-edge technological applications such as text-to-speech technology, speech-to-text technology, and voice assistants. Using their burgeoning knowledge of phonetics, phonology, syntax, and semantics developed throughout the course, Abigail Koch, Kate Nonnenkamp, Austin Montgomery, and Daisy Thomas analyzed the accuracy of Text-To-Speech software.
Cite this project as: Koch, A., Nonnenkamp, K., Montgomery, A., & Thomas, D. Linguistic Analysis of AI-Generated Content: Phonetics and Phonology. Under the supervision of primary instructors Travis Richardson and Xiang Li. LING 1000: Introduction to Linguistics, Georgetown University. Fall 2023.
Click on the links below to see other students' work on this topic
AlSaud, N., Liu, D., & Markowitz, J. Linguistic Analysis of AI-generated Content - Phonetics and Phonology. Under the supervision of professor Danni Shi and teaching assistant Ping Hei Yeung. LING 1000: Introduction to Language, Georgetown University. Fall 2023.
Cable, C., Goodwin, R., & Belding, B. Phonetics and Phonology of AI-generated Content. Under the supervision of professor Sue Lorenson and teaching assistants Lauren Levine and Evelyn Diaz-Iturriaga. LING 1000: Introduction to Language, Georgetown University. Fall 2023.
Muhammed, M., McGrath, A., Sansone, M., Xhili, D., Liao, C., & Macaulay, O. Linguistic Analysis of AI-Generated Speech: Phonetics and Phonology. Under the supervision of professor Lara Bryfonski and teaching assistant Mingyeong Choi. LING 1000: Introduction to Linguistics, Georgetown University. Spring 2024.
For further information, we direct you to the following resources:
We invite all those interested in learning more about the work that goes into spoken language processing to visit the archive of the International Speech Communication Association (ISCA).
