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

Aalborg, Denmark
September 3-7, 2001


Modeling Auxiliary Information in Bayesian Network Based ASR

Todd A. Stephenson, M. Mathew, Herve Bourlard

Dalle Molle Institute for Perceptual Artificial Intelligence (IDIAP), Switzerland

Automatic speech recognition bases its models on the acoustic features derived from the speech signal. Some have investigated replacing or supplementing these features with information that can not be precisely measured (articulator positions, pitch, gender, etc.) automatically. Consequently, automatic estimations of the desired information would be generated. This data can degrade performance due to its imprecisions. In this paper, we describe a system that treats pitch as an auxiliary information within the framework of Bayesian networks, resulting in improved performance.

Full Paper

Bibliographic reference.  Stephenson, Todd A. / Mathew, M. / Bourlard, Herve (2001): "Modeling auxiliary information in Bayesian network based ASR", In EUROSPEECH-2001, 2765-2768.