Class time: TuTh 5:00 PM - 6:20 PM Aug. 10 - Aug. 17, 2006
Class location: Bronson Creek Building - Room 200B
This course covers a range of speech and language analysis algorithms
that have been developed for measurement of speech or language based
markers of neurological disorders, for the creation of assistive
devices, and for remedial applications. Topics will include
introduction to speech and language disorders, robust speech signal
processing, statistical approaches to pitch and timing modeling, voice
transformation algorithms, speech segmentation, and modeling of
disfluency. The class will use a wide array of clinical data, and will
be closely tied to several ongoing research projects.
For these three lectures, we will focus on spoken language analysis
for neurodevelopmental and neurodegenerative disorders.
Peter F. Brown; Vincent J. Della Pietra; Robert L. Mercer; Stephen A. Della Pietra; Jennifer C. Lai. An Estimate of an Upper Bound for the Entropy of English. Computational Linguisics, 18(1), pp. 31-40. pdf
Kenji Sagae; Alon Lavie; Brian MacWhinney.
Automatic Measurement of Syntactic Development in Child Language. In Proceedings of the Association for Computational Linguistics, 2005. pdf
Sarah E. Schwarm and Mari Ostendorf. Reading Level Assessment Using Support Vector Machines and Statistical Language Models. In Proceedings of the Association for Computational Linguistics, 2005. pdf
Shankle, William R., A. Kimball Romney, Junko Hara, Dennis Fortier, Malcolm B. Dick, James M. Chen, Timothy Chan, and Xijiang Sun. Methods to improve the detection of mild cognitive impairment. Proceedings of the National Academy of Sciences of the USA, 102(13):4919-4924, 2005. pdf