Noise resistant auditory model for parametrization of speech
AssigneesU S West Advanced Technologies, Inc., International Computer Science Institute
InventorsHynek Hermansky, Nelson H. Morgan
Life of this patent
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Abstract
A method and system are provided for alleviating the harmful effects of convolutional and additive noise in speech, such as due to the environmental noise and linear spectral modification, based on the filtering of time trajectories of an auditory-like spectrum in a particular spectral domain.
Claims18
For use in a speech processing system having means for computing a plurality of temporal speech parameters including short-term parameters having time trajectories, a method for alleviating harmful effects of distortions of speech, the method comprising:
- performing a non-linear operation on a function of the short-term parameters of speech, the function being substantially linear for small values of the parameters and substantially logarithmic for large values of the parameters;
- and
- filtering data representing time trajectories of the short-term parameters of speech in a particular spectral domain to obtain a filtered spectrum and to minimize distortions due to convolutive noise and additive noise in speech.
For use in a speech processing system having means for computing a plurality of temporal speech parameters including short-term parameters having time trajectories, the system being useful for alleviating harmful effects of steady-state distortions of speech, the system comprising:
- means for performing a non-linear operation on a function of the short-term parameters of speech, the function being substantially linear for small values of an amplitude and substantially logarithmic for large values of the amplitude;
- and
- means for filtering the time trajectories of the short-term parameters of speech in a particular spectral domain to obtain a temporal pattern in which distortions due to convolutive noise and additive noise in speech are minimized.
Dependencies are inferred from the claim text.