Improving speech emotion dimensions estimation using a three-layer model of human perception
-
- Elbarougy Reda
- Japan Advanced Institute of Science and Technology (JAIST) Department of Mathematics, Faculty of Science, Damietta University
-
- Akagi Masato
- Japan Advanced Institute of Science and Technology (JAIST)
この論文をさがす
抄録
Most previous studies using the dimensional approach mainly focused on the direct relationship between acoustic features and emotion dimensions (valence, activation, and dominance). However, the acoustic features that correlate to valence dimension are very few and very weak. As a result, the valence dimension has been particularly difficult to predict. The purpose of this research is to construct a speech emotion recognition system that has the ability to precisely estimate values of emotion dimensions especially valence. This paper proposes a three-layer model to improve the estimating values of emotion dimensions from acoustic features. The proposed model consists of three layers: emotion dimensions in the top layer, semantic primitives in the middle layer, and acoustic features in the bottom layer. First, a top-down acoustic feature selection method based on this model was conducted to select the most relevant acoustic features for each emotion dimension. Then, a button-up method was used to estimate values of emotion dimensions from acoustic features by firstly using fuzzy inference system (FIS) to estimate the degree of each semantic primitive from acoustic features, then using another FIS to estimate values of emotion dimensions from the estimated degrees of semantic primitives. The experimental results reveal that the constructed emotion recognition system based on the proposed three-layer model outperforms the conventional system.
収録刊行物
-
- Acoustical Science and Technology
-
Acoustical Science and Technology 35 (2), 86-98, 2014
一般社団法人 日本音響学会
- Tweet
キーワード
詳細情報 詳細情報について
-
- CRID
- 1390282680066249600
-
- NII論文ID
- 130003390799
- 120005399223
-
- NII書誌ID
- AA11501808
-
- ISSN
- 13475177
- 03694232
- 13463969
-
- NDL書誌ID
- 025307257
-
- 本文言語コード
- en
-
- データソース種別
-
- JaLC
- IRDB
- NDL
- Crossref
- CiNii Articles
-
- 抄録ライセンスフラグ
- 使用不可