	US 12,190,870 B2
	Learning device, learning method, and learning program
Atsunori Ogawa, Musashino (JP); Marc Delcroix, Musashino (JP); Shigeki Karita, Musashino (JP); and Tomohiro Nakatani, Musashino (JP)
Assigned to NIPPON TELEGRAPH AND TELEPHONE CORPORATION, Tokyo (JP)
Appl. No. 16/966,056
Filed by NIPPON TELEGRAPH AND TELEPHONE CORPORATION, Tokyo (JP)
PCT Filed Feb. 1, 2019, PCT No. PCT/JP2019/003734 § 371(c)(1), (2) Date Jul. 30, 2020, PCT Pub. No. WO2019/151506, PCT Pub. Date Aug. 8, 2019.
Claims priority of application No. 2018-017224 (JP), filed on Feb. 2, 2018.
Prior Publication US 2020/0365143 A1, Nov. 19, 2020
Int. Cl. G10L 15/18 (2013.01); G06F 18/21 (2023.01); G06F 18/2113 (2023.01); G06F 18/213 (2023.01); G06F 18/214 (2023.01); G06N 3/08 (2023.01); G10L 15/16 (2006.01)

CPC G10L 15/1815 (2013.01) [G06F 18/2113 (2023.01); G06F 18/214 (2023.01); G06F 18/217 (2023.01); G06N 3/08 (2013.01); G10L 15/16 (2013.01)]

15 Claims

1. A learning device comprising:

a memory; and

processing circuitry coupled to the memory and configured to:

receive an input of a plurality of series for learning having known accuracy, and

learn a model represented by a neural network, the model determining accuracy levels of two series of the plurality of series based on a one-to-one comparison between the two series when given feature amounts of the two series among the plurality of series, one of the two series of the plurality of series being a series estimated to have a highest accuracy of the plurality of series after repeated one-to-one comparisons among the plurality of series.