Learning class probabilities from labeled data
Yoram Singer, Eyal Yair
ICPR 1992
High resolution analysis of voiced speech signals in Parkinsonian patients using a pitch synchronous pole-zero model is introduced. A modified estimation error is defined leading to an accurate and consistent determination of the excitation instants of the model. An infinite resolution in determining these instants, despite the finite sampling interval, is achieved by mapping the discrete (digitized) problem into a continuous one. The proposed analysis was found to be useful in analyzing Parkinsonian speech where the goal was to detect and quantify the Parkinsonian tremor and rigidity from sustained voiced sounds. © 1991 IEEE
Yoram Singer, Eyal Yair
ICPR 1992
Eyal Yair, Allen Gersho
Proceedings of the IEEE
Gal Ashour, Isak Gath
INTERSPEECH - Eurospeech 1999
Yoav Medan, Eyal Yair, et al.
IEEE TSP