Combined quantized and continuous feature vector HMM approach to speech recognition
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United States of America Patent
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Aug 13, 2002
Issued Date -
N/A
app pub date -
May 28, 1997
filing date -
Jun 18, 1992
priority date (Note) -
Expired
status (Latency Note)
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Abstract
A device capable of achieving recognition at a high accuracy and with fewer calculations and which utilizes an HMM. The present device has a vector quantizing circuit generating a model by quantizing vectors of a training pattern having a vector series, and converting the vectors into a label series of clusters to which they belong, a continuous distribution probability density HMM generating circuit for generating a continuous distribution probability density HMM from a quantized vector series corresponding to each label of the label series, and a label incidence calculating circuit for calculating the incidence of the labels in each state from the training vectors classified in the same clusters and the continuous distribution probability density HMM.
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