Signal processing device, signal processing method, and computer program product
AssigneeKabushiki Kaisha Toshiba
InventorTenta Sasaya
Life of this patent
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Abstract
A signal processing apparatus includes one or more processors. The one or more processors perform first-type signal processing on an input signal using a neural network, and output a first-type output signal. The one or more processors convert the first-type output signal into a second-type output signal for calculating a first-type loss related to accuracy of second-type signal processing performed by another signal processing device The one or more processors calculate the first-type loss based on the second-type output signal and a correct signal. The one or more processors optimize parameters of the neural network based on the first-type loss.
Claims9
A signal processing device comprising:
- one or more processors configured to:
- perform first-type signal processing on an input signal using a neural network, and output a first-type output signal;
- convert the first-type output signal into a second-type output signal for calculating a first-type loss related to accuracy of second-type signal processing performed by another signal processing device;
- calculate the first-type loss based on the second-type output signal and a correct signal;
- and
- optimize parameters of the neural network based on the first-type loss.
A signal processing method comprising:
- performing, by a signal processing device, first-type signal processing on an input signal using a neural network, and outputting a first-type output signal;
- converting, by the signal processing device, the first-type output signal into a second-type output signal for calculating a first-type loss related to accuracy of second-type signal processing performed by another signal processing device;
- calculating, by the signal processing device, the first-type loss based on the second-type output signal and a correct signal;
- and
- optimizing, by the signal processing device, parameters of the neural network based on the first-type loss.
A computer program product having a non-transitory computer readable medium including programmed instructions, wherein the instructions, when executed by a computer, cause the computer to perform:
- performing first-type signal processing on an input signal using a neural network, and outputting a first-type output signal;
- converting the first-type output signal into a second-type output signal for calculating a first-type loss related to accuracy of second-type signal processing performed by another signal processing device that is different from the computer;
- calculating the first-type loss based on the second-type output signal and a correct signal;
- and
- optimizing parameters of the neural network based on the first-type loss.
A signal processing device comprising:
- one or more processors configured to:
- perform first-type signal processing on input signals using a neural network, and output a first-type output signals;
- convert the first-type output signals into a second-type output signals for calculating a first-type loss related to accuracy of second-type signal processing performed by another signal processing device;
- and
- control signal processing to be performed, according to the second-type output signals corresponding to the input signals used in learning of parameters of the neural network performed by using the first-type loss.
Dependencies are inferred from the claim text.