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このアイテムの引用には次の識別子を使用してください: http://hdl.handle.net/10119/9950

タイトル: A Hybrid Speech Emotion Recognition System Based on Spectral and Prosodic Features
著者: ZHOU, Yu
LI, Junfeng
SUN, Yanqing
ZHANG, Jianping
YAN, Yonghong
AKAGI, Masato
キーワード: speech emotion recognition
non-uniform subband processing
spectral feature
prosodic feature
発行日: 2010-10-01
出版者: 電子情報通信学会
誌名: IEICE TRANSACTIONS on Information and Systems
巻: Vol.E93-D
号: 10
開始ページ: 2813
終了ページ: 2821
抄録: In this paper, we present a hybrid speech emotion recognition system exploiting both spectral and prosodic features in speech. For capturing the emotional information in the spectral domain, we propose a new spectral feature extraction method by applying a novel non-uniform subband processing, instead of the mel-frequency subbands used in Mel-Frequency Cepstral Coefficients (MFCC). For prosodic features, a set of features that are closely correlated with speech emotional states are selected. In the proposed hybrid emotion recognition system, due to the inherently different characteristics of these two kinds of features (e.g., data size), the newly extracted spectral features are modeled by Gaussian Mixture Model (GMM) and the selected prosodic features are modeled by Support Vector Machine (SVM). The final result of the proposed emotion recognition system is obtained by combining the results from these two subsystems. Experimental results show that (1) the proposed non-uniform spectral features are more effective than the traditional MFCC features for emotion recognition; (2) the proposed hybrid emotion recognition system using both spectral and prosodic features yields the relative recognition error reduction rate of 17.0% over the traditional recognition systems using only the spectral features, and 62.3% over those using only the prosodic features.
Rights: Copyright (C)2010 IEICE. Yu ZHOU, Junfeng LI, Yanqing SUN, Jianping ZHANG, Yonghong YAN, Masato AKAGI, IEICE TRANSACTIONS on Information and Systems, Vol.E93-D(10), 2010, 2813-2821. http://www.ieice.org/jpn/trans_online/
URI: http://hdl.handle.net/10119/9950
資料タイプ: publisher
出現コレクション:b10-1. 雑誌掲載論文 (Journal Articles)

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