Abstract
In this paper, we introduce a speaker-dependent isolated word recognizer which is dedicated for Chinese character input. The method presented here offers an effective solution to the large-vocabulary recognition problem by carrying out recognition hierachically. The vocabulary consists of 800 to 1000 words. The average recognition rate is 90% when monosyllable words takes up one third of the vocabulary. Recognition rate can reach 95% by selecting from the top 20 candidates.
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