Speech recognition system accommodating different sources
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United States of America Patent
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Nov 5, 1996
Grant Date -
N/A
app pub date -
Jan 24, 1994
filing date -
Jan 24, 1994
priority date (Note) -
Expired
status (Latency Note)
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Abstract
The speech recognition system disclosed herein obtains improved recognition accuracy by employing recognition models which are discriminatively trained from a data base comprising training data from different sources, e.g., both male and female voices. A linear discriminant analysis is performed on the training data using expanded matrices in which sources are identified or labelled. The linear discriminant analysis yields respective transforms for the different sources which however map the different sources onto a common vector space in which the vocabulary models are defined.
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