9th Annual Conference of the International Speech Communication Association

Brisbane, Australia
September 22-26, 2008

Parallel and Hierarchical Speech Feature Classification Using Frame and Segment-Based Methods

Jun Hou, Lawrence R. Rabiner, Sorin Dusan

Rutgers University, USA

Phonemes in the English language can be represented using either parallel or hierarchical distinctive speech features. There have been a number of efforts to integrate multiple information sources but none of these efforts addressed the issue of combining multiple sets of articulatory/linguistic features with different organization topologies. In this study, we combine a frame-based parallel speech feature detection system and a segment-based hierarchical phoneme classification system with the goal of improving the overall phoneme classification performance. We describe a mathematical framework for a unified classification system in which frame-based parallel feature detection is incorporated into a segment-based hierarchical phoneme classification method. Experimental results show that the combined system provides improved classification performance for some phoneme classes.

Full Paper

Bibliographic reference.  Hou, Jun / Rabiner, Lawrence R. / Dusan, Sorin (2008): "Parallel and hierarchical speech feature classification using frame and segment-based methods", In INTERSPEECH-2008, 1329-1332.