Feature extraction of acoustic signals
AssigneeInternational Business Machines Corporation
InventorsXiao Xing Liang, Ning Zhang, Yu Ling Zheng, Yu Chen Zhou
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AssigneeInternational Business Machines Corporation
InventorsXiao Xing Liang, Ning Zhang, Yu Ling Zheng, Yu Chen Zhou
Estimating the term…
Embodiments of the present disclosure relate to a new approach used for adaptively selecting an acoustic feature extractor used in an Artificial Intelligence system. The method comprises: acquiring a frame of acoustic signal; checking a status of a flag to be used to indicate a proper acoustic feature extractor to be selected, the first status of the flag indicates a low-cost feature extractor associated with quasi-stationary acoustic signal, the second status of the flag indicates a high-cost feature extractor associated with non-stationary acoustic signal; processing the frame of acoustic signal by the selected acoustic feature extractor indicated by the checked status; determining, based on data generated in the processing of the frame of acoustic signal, an actual status of the frame of acoustic signal; and updating the status of the flag according to the actual status.
A computer-implemented method for selecting an acoustic feature extractor, the method comprising:
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A computer system for selecting an acoustic feature extractor, the computer system having a processing unit and a memory coupled to the processing unit and storing instructions thereon, the instructions executed by the processing unit to perform a method comprising:
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A computer program product used for selecting an acoustic feature extractor, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by one or more processors to cause the one or more processors to:
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Dependencies are inferred from the claim text.