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