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Department of Statistics, The Ohio State University
Statistics and Biostatistics Colloquium Series
Statistical learning for integrating linguistic insights in
automatic and human speech recognition models
Eric Fosler-Lussier
Department of Computer Science and Engineering, The Ohio State University
3:30PM - Thursday, April 16, 2009
Room 170, Eighteenth Avenue Bldg. (EA 170)
ABSTRACT
Speech recognition engineers have long used statistical learning
techniques to model and transcribe spoken utterances. However, many
current models are impoverished with respect to insights provided by
the research of linguists. This talk will be in three parts: first, I
will give a general overview of speech recognition as currently
practiced. The second part of the talk will describe current research
in the CSE Speech and Language Technology (SLaTe) lab which integrates
posterior estimates of phonological features (subparts of speech
sounds) in a Conditional Random Fields paradigm. The final, brief,
part of the talk will discuss some recent in-progress work in modeling
child language acquisition, where we employ self-organizing maps and
Hebbian learning to model how kids acquire vowel spaces.
Joint work with Jeremy Morris, Ilana Heintz, Mary Beckman, Lucie Menard
Meet the speaker in Room 212 Cockins Hall at 4:30
p.m. Refreshments will be served.
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