System and method for data augmentation and speech processing in dynamic acoustic environments
AssigneeNuance Communications, Inc.
InventorsPatrick A. Naylor, Dushyant Sharma, Uwe Helmut Jost, William F. Ganong, III
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Abstract
A method, computer program product, and computing system for defining model representative of a plurality of acoustic variations to a speech signal, thus defining a plurality of time-varying spectral modifications. The plurality of time-varying spectral modifications may be applied to a plurality of feature coefficients of a target domain of a reference signal, thus generating a plurality of time-varying spectrally-augmented feature coefficients of the reference signal.
Claims21
A computer-implemented method, executed on a computing device, comprising:
- defining a model representative of a plurality of acoustic variations to a speech signal, thus defining a plurality of time-varying spectral modifications, wherein defining the model representative of the plurality of acoustic variations to the speech signal includes defining a model representative of a plurality of acoustic variations to the speech signal dependent upon variations in a beampattern of an adaptive beamformer and movement of a plurality of sound sources relative to a beam of the adaptive beamformer;
- and
- applying the plurality of time-varying spectral modifications to a plurality of feature coefficients of a target domain of a reference signal, thus generating a plurality of time-varying spectrally-augmented feature coefficients of the reference signal.
A computer program product residing on a non-transitory computer readable medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform operations comprising:
- defining a model representative of a plurality of acoustic variations to a speech signal, thus defining a plurality of time-varying spectral modifications, wherein defining the model representative of the plurality of acoustic variations to the speech signal includes defining a model representative of a plurality of acoustic variations to the speech signal dependent upon variations in a beampattern of an adaptive beamformer and movement of a plurality of sound sources relative to a beam of the adaptive beamformer;
- and
- applying the plurality of time-varying spectral modifications to a plurality of feature coefficients of a target domain of a reference signal, thus generating a plurality of time-varying spectrally-augmented feature coefficients of the reference signal.
A computing system comprising:
- a memory;
- and
- a processor configured to define a model representative of a plurality of acoustic variations to a speech signal, thus defining a plurality of time-varying spectral modifications, wherein defining the model representative of the plurality of acoustic variations to the speech signal includes defining a model representative of a plurality of acoustic variations to the speech signal dependent upon variations in a beampattern of an adaptive beamformer and movement of a plurality of sound sources relative to a beam of the adaptive beamformer and wherein the processor is further configured to apply the plurality of time-varying spectral modifications to a plurality of feature coefficients of a target domain of a reference signal, thus generating a plurality of time-varying spectrally-augmented feature coefficients of the reference signal.
Dependencies are inferred from the claim text.