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Title:
SELECTION OF VOICE FEATURE FOR ESTABLISHING MODEL FOR USE IN DETECTION OF SYMPTOM
Document Type and Number:
Japanese Patent JP2023052224
Kind Code:
A
Abstract:
To provide a method of establishing a mathematical model for use in detection of a symptom to improve performance of the model.SOLUTION: A method according to the present invention has a step 510 of acquiring a training corpus including a voice data item, a step 220 of acquiring voice recognition result with respect to each of the voice data items, a step 210 of calculating a plurality of acoustic features with respect to each of the voice data items in the training corpus, a step 230 of calculating a plurality of language features with respect to each of the voice data items in the training corpus by processing the voice recognition result, a step 520 of calculating a feature selection score with respect to each of features of the plurality of acoustic features and to each of features of the plurality of language features, a step 540 of selecting a plurality of features from the plurality of acoustic features and the plurality of language features by using the feature selection score, and a step 550 of training a mathematic model for use in detection of a symptom by using the plurality of features selected with respect to each of the voice data items in the training corpus.SELECTED DRAWING: Figure 5

Inventors:
Kim, jeongwon
Kwon, Nami
Henry O'Connell
Philip, Walstad
Kevin Shenbin, Yang
Application Number:
JP2023000544A
Publication Date:
April 11, 2023
Filing Date:
January 05, 2023
Export Citation:
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Assignee:
Canary Speech, LRC
International Classes:
G06N20/00; A61B5/00; G10L15/00; G10L25/30; G10L25/66
Attorney, Agent or Firm:
Osamu Yamamoto
Toru Miyamae
Junichi Matsuo