ISCA Archive Interspeech 2008
ISCA Archive Interspeech 2008

Parallel and hierarchical speech feature classification using frame and segment-based methods

Jun Hou, Lawrence R. Rabiner, Sorin Dusan

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.


doi: 10.21437/Interspeech.2008-388

Cite as: Hou, J., Rabiner, L.R., Dusan, S. (2008) Parallel and hierarchical speech feature classification using frame and segment-based methods. Proc. Interspeech 2008, 1329-1332, doi: 10.21437/Interspeech.2008-388

@inproceedings{hou08_interspeech,
  author={Jun Hou and Lawrence R. Rabiner and Sorin Dusan},
  title={{Parallel and hierarchical speech feature classification using frame and segment-based methods}},
  year=2008,
  booktitle={Proc. Interspeech 2008},
  pages={1329--1332},
  doi={10.21437/Interspeech.2008-388}
}