EUROSPEECH 2001 Scandinavia
7th European Conference on Speech Communication and Technology

Aalborg, Denmark
September 3-7, 2001


Structural Learning of Dynamic Bayesian Networks in Speech Recognition

Murat Deviren, Khalid Daoudi


We present a speech modeling methodolgy where no a priori assumption is made on the dependencies between the observed and hidden speech processes. Rather, dependencies are learned from data. This methodology guarantees improvement in modeling fidelity compared to HMMs. In addition, it gives the user a control on the trade-off between modeling accuracy and model complexity. Furthermore, the approach is technically very attractive because all the computational effort is made in the training phase.

Full Paper

Bibliographic reference.  Deviren, Murat / Daoudi, Khalid (2001): "Structural learning of dynamic Bayesian networks in speech recognition", In EUROSPEECH-2001, 1669-1672.