معرفی
Paul Boersma is a Professor of Phonetic Sciences at the University of Amsterdam within the Faculty of Humanities. His research explores how phonetic, phonological, and morphological phenomena emerge through computational modeling using artificial neural networks and Optimality Theory, with a focus on multi-level constraint interactions and distributional learning.
- University of Amsterdam
- Faculty of Humanities
- Phonetic Sciences
Key research areas include:
- Computational Modeling: Simulations of phonological category emergence from phonetic data
- Optimality Theory: Gradual Learning Algorithm applications
- BiPhon Framework: Parallel bidirectional phonology/phonetics models
- Statistical Learning: Cross-situational and distributional learning mechanisms
Recent publications emphasize:
- 2025: Inclusive speech recognition systems using Whisper model
- 2025: F0 ratio analysis for creaky voice diagnostics
- 2024: Prosodic clitics in child speech and checked tones in Shanghai Chinese
- 2023: Distributional learning in developmental language disorder contexts
- 2022: Substance-free phonological features and ghost segment phenomena
He has also contributed extensively to the Praat software for phonetic analysis, with continuous updates since 1993.
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