Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition
Reexamination Certificate
2006-03-06
2010-06-01
Lerner, Martin (Department: 2626)
Data processing: speech signal processing, linguistics, language
Speech signal processing
Recognition
C704S226000, C704S243000, C381S094300
Reexamination Certificate
active
07729908
ABSTRACT:
A noise robustness method operates jointly in a signal domain and a model domain. For example, energy is added in the signal domain for frequency bands where an actual noise level of an incoming signal is lower than a noise level used to train models, thus obtaining a compensated signal. Also, energy is added in the model domain for frequency bands where noise level of the incoming signal or the compensated signal is higher than the noise level used to train the models. Moreover, energy is never removed, thereby avoiding problems of higher sensitivity of energy removal to estimation errors.
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Junqua Jean-Claude
Kryze David
Kunieda Nobuyuki
Morii Keiko
Rigazio Luca
Harness & Dickey & Pierce P.L.C.
Lerner Martin
Panasonic Corporation
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