Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition
Reexamination Certificate
2007-05-08
2007-05-08
Lerner, Martin (Department: 2626)
Data processing: speech signal processing, linguistics, language
Speech signal processing
Recognition
C704S244000, C704S246000
Reexamination Certificate
active
09670251
ABSTRACT:
Methods and arrangements using lattice-based information for unsupervised speaker adaptation. By performing adaptation against a word lattice, correct models are more likely to be used in estimating a transform. Further, a particular type of lattice proposed herein enables the use of a natural confidence measure given by the posterior occupancy probability of a state, that is, the statistics of a particular state will be updated with the current frame only if the a posteriori probability of the state at that particular time is greater than a predetermined threshold.
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Padmanabhan Mukund
Saon George A.
Zweig Geoffrey G.
Ference & Associates
Lerner Martin
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