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Title:
CLASSIFICATION INFORMATION GENERATION DEVICE, CLASSIFICATION INFORMATION GENERATION METHOD AND PROGRAM
Document Type and Number:
Japanese Patent JP2019168483
Kind Code:
A
Abstract:
To provide classification information which can appropriately classify voice information into two or more types.SOLUTION: Appropriate classification information can be generated by a classification information generation device which comprises: an acceptance unit for accepting, from a user, portion specifying information upon acquiring partial voice information which is a portion of voice information and an instruction specifying negative voice; a source information acquisition unit for acquiring the portion specifying information; a partial voice information acquisition unit for acquiring first-half voice information and second-half voice information using the portion specifying information; a feature amount acquisition unit for acquiring a first type feature amount group from the first-half voice information and acquiring a second type feature amount group from the second-half voice information not corresponding to the instruction; a classification information constitution unit for, using information having the first type feature amount group and first type information and information having the second type feature amount group and second type information, constituting classification information which can discriminate between the first type of voice information and the second type of voice information with user of an algorithm of machine learning; and a classification information accumulation unit for accumulating classification information.SELECTED DRAWING: Figure 2

Inventors:
OTANI SHO
Application Number:
JP2018053802A
Publication Date:
October 03, 2019
Filing Date:
March 22, 2018
Export Citation:
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Assignee:
ZAIZEN CO LTD
International Classes:
G10L15/10; G10L25/63
Domestic Patent References:
JP2017032738A2017-02-09
JP2017138509A2017-08-10
JP2012113542A2012-06-14
Foreign References:
WO2015019662A12015-02-12
Attorney, Agent or Firm:
Hidekazu Tanikawa



 
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