隠れマルコフモデルを用いた情緒計算手法の拡張
URI | http://harp.lib.hiroshima-u.ac.jp/hiroshima-cu/metadata/5571 | ||||||||||||
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FSS19_179.pdf
( 140.0 KB )
Open Date
:2010-02-17
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Title |
隠れマルコフモデルを用いた情緒計算手法の拡張
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Title Alternative |
Emotion Generating Calculations based on Hidden Markov Model
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Author |
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Abstract |
The Emotion Generating Calculations (EGCs) method can calculate a human being's current emotion from the content of the utterance. In this paper, we extend the EGCs to refer variance of emotions based on Hidden Markov Model (HMM). Because the EGCs focus on 20 types of emotion, a 20-dimension vector is checked for a stimulus from external world. The enfeeblement process of the emotion vector's degree is expressed by the exponential distribution function and the current emotion vector is calculated based on HMM. |
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Journal Title |
第19回ファジィシステムシンポジウム講演論文集
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Spage |
179
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Epage |
182
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Published Date |
2003
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Publisher |
日本知能情報ファジィ学会
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ISSN |
13419080
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NCID |
AN10359394
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Language |
jpn
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NIIType |
Conference Paper
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Text Version |
著者版
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Rights |
Copyright (c) 2003 日本知能情報ファジィ学会
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Set |
hiroshima-cu
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