NDLI: A speaker independent word recognition system based on phoneme recognition for a large size (212 words) vocabulary

Content Provider	IEEE Xplore Digital Library
Author	Makino, S. Kido, K.
Copyright Year	1984
Description	Author affiliation: Tohoku University, Sendai, Japan (Makino, S.)
Abstract	This paper describes the speaker-independent spoken word recognition system for a large size vocabulary. Speech is analyzed by the filter bank, from whose logarithmic spectrum the 11 features are extracted every 10 ms. Using the features the speech is first segmented and the primary phoneme recognition is carried out for every segment using the Bayes decision method. After correcting errors in segmentation and phoneme recognition, the secondary recognition of part of the consonants is carried out and the phonemic sequence is determined. The word dictionary item having maximum likelihood to the sequence is chosen as the recognition output. The 75.9% score for the phoneme recognition and the 92.4% score for the word recognition are obtained for the training samples in the 212 words uttered by 10 male and 10 female speakers. For the same words uttered by 30 male and 20 female speakers different from the above speakers, the 88.1% word recognition score is obtained.
Starting Page	29
Ending Page	32
File Size	90909
Page Count	4
File Format	PDF
DOI	10.1109/ICASSP.1984.1172568
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1984-03-19
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vocabulary Error correction Dictionaries Feature extraction Speech recognition Speech analysis Frequency Pattern recognition Filter bank Data mining
Content Type	Text
Resource Type	Article

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