EMOTION ESTIMATION DEVICE AND EMOTION ESTIMATION SYSTEM

To highly precisely estimate emotion which a user has even if a general-purpose learning model which is learnt is used with voice information on a plurality of persons as teacher data.SOLUTION: An emotion estimation device comprises: a voice evaluation section for inputting a plurality of feature am...

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Bibliographic Details
Main Authors KUBOTA HIDEYUKI, SHINDO HIROKO
Format Patent
LanguageEnglish
Japanese
Published 17.12.2020
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Summary:To highly precisely estimate emotion which a user has even if a general-purpose learning model which is learnt is used with voice information on a plurality of persons as teacher data.SOLUTION: An emotion estimation device comprises: a voice evaluation section for inputting a plurality of feature amounts on the basis of voice information indicating user's voice to learning models which have learnt a relation between the plurality of feature amounts corresponding to human voice and intensity to a plurality of emotions which the person emitting the voice has on the plurality of persons and acquiring voice emotion information including a voice evaluation value indicating the intensity of the plurality of emotions which the user has from the learning model; a correction section for generating corrected emotion information obtained by correcting the voice emotion information by using the correction information on the basis of the feature of the user's voice; and an estimation section for estimating one or more emotions which the user has from the plurality of emotions on the basis of the corrected emotion information.SELECTED DRAWING: Figure 5 【課題】複数の人間の音声情報を教師データとして学習済みの汎用的な学習モデルを利用する場合であっても、ユーザが抱く感情を高精度に推定すること。【解決手段】感情推定装置は、人間の音声に応じた複数の特徴量と当該音声を発した人間が抱く複数の感情の各々に対する強度との関係を複数の人間について学習済みの学習モデルに対して、ユーザの音声を示す音声情報に基づく複数の特徴量を入力し、前記ユーザが抱く前記複数の感情の各々に対する強度を示す音声評価値を含む音声感情情報を前記学習モデルから取得する音声評価部と、前記ユーザの音声の特徴に基づく補正情報を用いて前記音声感情情報を補正した補正感情情報を生成する補正部と、前記補正感情情報に基づいて、前記複数の感情の中から前記ユーザが抱く1以上の感情を推定する推定部と、を備える。【選択図】図5
Bibliography:Application Number: JP20190106848