Rylen W. Garlitz

Research Interests:

• Computational Linguistics
• Acoustic Phonetics
• Speech Perception
• Forensic Linguistics
• Sociophonetics

Current Research:

Rylen’s dissertation examines how authentic dialects differ from intentionally disguised or faked accents. His work explores how these differences can be reliably detected using computational approaches, including acoustic analysis and automatic speech recognition (ASR) systems. The research also investigates which acoustic parameters speakers manipulate, and how these changes are perceived by human listeners versus machine learning models.

Publications/Presentations:

• 2026. Garlitz, Rylen, Allen Shamsi, & Ratree Wayland. Spectral Bandwidth Effects on Emotion Classification and Representation in Spoken and Sung Signals. Signals, 7(3), 50. DOI

• 2025. Garlitz, Rylen. Classifying American English dialects using acoustic-prosodic features extracted by openSMILE. Proceedings of the 16th International Conference on Theoretical and Computational Acoustics, Busan, South Korea. Conference Website
• 2023. Garlitz, Rylen. The effects of speaking style on vowel space and long-term formant distributions (Master's thesis). Department of Languages, Linguistics, and Comparative Literature, Florida Atlantic University.