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A method for efficient storage and rapid application of context-sensitive phonological rules for automatic speech recognition

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2 Author(s)
Mercer, R. ; IBM Thomas J. Watson Research Center, P.O. Box 218, Yorktown Heights, New York 10598, USA ; Cohen, Paul S.

In an automatic speech-recognition system, the application of phonological rules to phonemic strings in order to create phonetic graphs is a computationally time- and storage-consuming process. A great many such graphs must be constructed during the decoding phase; thus it is important to be able to rapidly construct phonetic graphs for strings of words from graphs of individual words. However, because many phonological rules operate across word boundaries or require interword context, it is not possible to determine a unique, context-independent phonetic graph for a word. We describe a method for determining the phonetic graph for a word in isolation, together with auxiliary information to allow phonetic graphs for different words to be rapidly interconnected to form a phonetic graph for a string of words; the method also reduces storage requirements significantly.

Note: The Institute of Electrical and Electronics Engineers, Incorporated is distributing this Article with permission of the International Business Machines Corporation (IBM) who is the exclusive owner. The recipient of this Article may not assign, sublicense, lease, rent or otherwise transfer, reproduce, prepare derivative works, publicly display or perform, or distribute the Article.  

Published in:

IBM Journal of Research and Development  (Volume:31 ,  Issue: 1 )