10th Annual Conference of the International Speech Communication Association

Brighton, United Kingdom
September 6-10, 2009

Acoustic Modeling Using Exponential Families

Vaibhava Goel, Peder A. Olsen

IBM T.J. Watson Research Center, USA

We present a framework to utilize general exponential families for acoustic modeling. Maximum Likelihood (ML) parameter estimation is carried out using sampling based estimates of the partition function and expected feature vector. Markov Chain Monte Carlo procedures are used to draw samples from general exponential densities. We apply our ML estimation framework to two new exponential families to demonstrate the modeling flexibility afforded by this framework.

Full Paper

Bibliographic reference.  Goel, Vaibhava / Olsen, Peder A. (2009): "Acoustic modeling using exponential families", In INTERSPEECH-2009, 1423-1426.