NDLI: A novel word pre-selection method based on phonetic set indexing

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Selective all-pole modeling of degraded speech using M-band decomposition

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Multi-channel signal separation

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A novel word pre-selection method based on phonetic set indexing

Content Provider	IEEE Xplore Digital Library
Author	Sarukkai, R.R. Ballard, D.H.
Copyright Year	1996
Description	Author affiliation: Dept. of Comput. Sci., Rochester Univ., NY, USA (Sarukkai, R.R.)
Abstract	The possibility of pre-fetching words using the phoneme sequence output of automatic speech recognition systems has been explored. A novel non-sequential indexing mechanism (termed phonetic set indexing) has been evaluated for the purpose of fast word pre-selection. Our approach to handling the lexical access problem stems from the primacy observation that the set of phonemes which are present in a transcription of a word is sparsely distributed across the vocabulary, and is thus suitable as an indexing key for retrieving a short list of word possibilities. The fixed dimensionality of the phonetic set representation also makes it suitable for implementation with compact bit strings, thus enabling fast lexical access using low-level bit operations.
Starting Page	857
Ending Page	860
File Size	367714
Page Count	4
File Format	PDF
ISBN	0780331923
ISSN	15206149
DOI	10.1109/ICASSP.1996.543256
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-05-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Indexing Vocabulary Speech recognition Databases Computer science Automatic speech recognition Computer simulation Neural networks Lattices Dynamic programming
Content Type	Text

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