Title:
IDENTIFICATION MODEL LEARNING DEVICE, IDENTIFICATION DEVICE, IDENTIFICATION MODEL LEARNING METHOD, IDENTIFICATION METHOD, AND PROGRAM
Document Type and Number:
WIPO Patent Application WO/2020/250266
Kind Code:
A1
Abstract:
Provided is an identification model learning device that improves an identification model for special speech audio. The identification model learning device comprises an identification model learning unit for learning an identification model that includes: an input layer in which a feature amount series for frame units of speech and learning data including a binary label indicating whether speech is special speech are used as a basis to input the feature amount series for the frame units and output an output result to an intermediate layer; one or more intermediate layers in which the output result of the input layer or of the directly precedent intermediate layer is used as input and a processing result is output; an integration layer in which the output result of the last intermediate layer is used as input and a processing result for a speech unit is output; and an output layer in which a label from the output of the integration layer is output.
Inventors:
ASHIHARA TAKANORI (JP)
SHINOHARA YUSUKE (JP)
YAMAGUCHI YOSHIKAZU (JP)
SHINOHARA YUSUKE (JP)
YAMAGUCHI YOSHIKAZU (JP)
Application Number:
PCT/JP2019/022866
Publication Date:
December 17, 2020
Filing Date:
June 10, 2019
Export Citation:
Assignee:
NIPPON TELEGRAPH & TELEPHONE (JP)
International Classes:
G10L25/30; G10L25/51
Foreign References:
| JP2007079363A | 2007-03-29 | |||
| JP2016186515A | 2016-10-27 |
Attorney, Agent or Firm:
NAKAO, Naoki et al. (JP)
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