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AssigneeNippon Telegraph and Telephone Corporation
InventorsHisashi KURASAWA, Takayuki OGASAWARA, Masumi YAMAGUCHI, Shingo TSUKADA, Hiroshi NAKASHIMA, Takahiro HATA, Nobuhiko MATSUURA
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A learning-type signal separation method performed using a model formulation unit, which performs learning processing based on a training-use signal including a specific component, and a training-use signal not including the specific component, the training-use signals including a common characteristic. The learning-type signal separation method includes: generating learned data by causing the model formulation unit to perform learning processing based on the training-use signal and information indicating whether or not the specific component is included in the training-use signal, to generate a data series signal in which the specific component has been separated and removed from a data series of the training-use signal; acquiring an arbitrary signal including the common characteristic; and generating, based on the acquired arbitrary signal and the generated learned data, a data series signal in which the specific component has been separated and removed from a data series of the arbitrary signal.
A learning-type signal separation method performed using a model formulation unit, which performs learning processing based on a training-use signal including a specific component, and a training-use signal not including the specific component, the training-use signals including a common characteristic,
A learning-type signal separation device including:
Dependencies are inferred from the claim text.