NDLI: Recognition of isolated-word sentences from a 5000-word vocabulary office correspondence task

Content Provider	IEEE Xplore Digital Library
Author	Bahl, L. Cole, A. Jelinek, F. Mercer, R. Nadas, A. Nahamoo, D. Picheny, M.
Copyright Year	1983
Description	Author affiliation: IBM T. J. Watson Research Centre, Yorktown Height, NY (Bahl, L.)
Abstract	Recognition results on sentences from a 5000-word vocabulary drawn from office correspondence are presented. The sentences were read with pauses between the words. The vocabulary comprises the 5000 most frequently occurring words in a data-base of 14,000 office memoranda and letters, and has a perplexity of 90, measured from a trigram language model. Experiments were carried out with 6 speakers (4 male, 2 female) in an office environment using a close-talking microphone. The recognition system was automatically trained to each speaker by having the speaker read 100 typical sentences from the office correspondence data-base. Recognition was carried out for each speaker on 20 test sentences, consisting of 299 words. The recognition rate (% words correct) averaged across the 6 speakers was 94.5%.
Starting Page	1065
Ending Page	1067
File Size	57577
Page Count	3
File Format	PDF
DOI	10.1109/ICASSP.1983.1172161
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1983-04-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vocabulary Testing Databases Microphones Speech recognition Statistics Electronic mail Loudspeakers Humans Decoding
Content Type	Text
Resource Type	Article

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