معرفی
Florian Jaeger is a Professor of Brain and Cognitive Sciences and Computer Science at the University of Rochester, affiliated with the School of Arts & Sciences. He holds a PhD from Stanford University (2006). His research focuses on computational models of human speech perception and production, adaptive language processing, Bayesian inference, and advanced statistical methods for analyzing linguistic data. Key areas include the integration of contextual cues, normalization in speech perception, and the interplay between predictability and phonological patterns.
- Education: PhD, Stanford University, 2006
Research interests span cognitive science, linguistics, and neuroscience, with a focus on how listeners adapt to unfamiliar accents, maintain perceptual information, and process language incrementally. He explores theoretical frameworks like Bayesian models to explain language comprehension and production. His work bridges experimental psycholinguistics and computational modeling, addressing topics such as sociolinguistic perception, speech variability, and language learning across the lifespan.
His articles frequently examine mechanisms of speech perception adaptation, normalization accounts, and cross-linguistic comparisons (e.g., Central Swedish vowel spaces). Notable contributions include studies on error-driven adaptation in reading, maintenance of subcategorical speech information, and the role of entropy in sentence processing. Jaeger’s methods emphasize rigorous statistical analysis (GLMMs, GAMMs) to dissect complex linguistic phenomena.
He leads research on language production efficiency, linking linguistic patterns to communicative goals, and investigates how prior experience shapes perception. His lab addresses questions like how listeners infer talker-specific or general linguistic patterns and how these processes constrain language evolution. No scientific awards are listed here, but his impactful contributions are evident in his extensive publication record.
