Method for constructing a model of a new word for addition to a word model database of a speech recognition system
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United States of America Patent
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Feb 16, 1999
Grant Date -
N/A
app pub date -
May 2, 1996
filing date -
May 3, 1995
priority date (Note) -
Expired
status (Latency Note)
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Abstract
For speech recognition a new word is represented as based on a stored inventory of models of sub-word units. First a plurality of utterances are presented that all should conform to the word. For building a word model from the utterances, these are represented by a sequence of feature vectors. First, the utterances are used to train a whole-word model that is independent of the models of the sub-word units. The length of the whole-word model equals the average length of the utterances. Next, a sequence of Markov states and associated probability densities of acoustic events of the whole-word model is interpreted as a reference template represented by a string of averaged feature vectors. Finally, the string is recognized by matching to models in the inventory and storing a recognition result as a model of the utterances.
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