CAJ | 학술논문

研究了基于认知评估原理的多维耳语音情感识别。首先，比较了耳语音情感数据库和数据采集方法，研究了耳语音情感表达的特点，特别是基本情感的表达特点。其次，分析了耳语音的情感特征，并通过近年来的文献总结相关阶特征在效价维和唤醒维上的特征。研究了效价维和唤醒维在区分耳语音情感中的作用。最后，研究情感识别算法和应用耳语音情感识别的高斯混合模型。认知能力的评估也融入到情感识别过程中，从而对耳语音情感识别的结果进行纠错。基于认知分数，可以提高情感识别的结果。实验结果表明，耳语音信号中共振峰特征与唤醒维度不显著相关，而短期能量特征与情感变化在唤醒维度相关。结合认知分数可以提高语音情感识别的结果。
연구료기우인지평고원리적다유이어음정감식별。수선，비교료이어음정감수거고화수거채집방법，연구료이어음정감표체적특점，특별시기본정감적표체특점。기차，분석료이어음적정감특정，병통과근년래적문헌총결상관계특정재효개유화환성유상적특정。연구료효개유화환성유재구분이어음정감중적작용。최후，연구정감식별산법화응용이어음정감식별적고사혼합모형。인지능력적평고야융입도정감식별과정중，종이대이어음정감식별적결과진행규착。기우인지분수，가이제고정감식별적결과。실험결과표명，이어음신호중공진봉특정여환성유도불현저상관，이단기능량특정여정감변화재환성유도상관。결합인지분수가이제고어음정감식별적결과。
The cognitive performance-based dimensional emotion recognition in whispered speech is studied.First,the whispered speech emotion databases and data collection methods are compared, and the character of emotion expression in whispered speech is studied,especially the basic types of emotions.Secondly,the emotion features for whispered speech is analyzed,and by reviewing the latest references,the related valence features and the arousal features are provided. The effectiveness of valence and arousal features in whispered speech emotion classification is studied.Finally,the Gaussian mixture model is studied and applied to whispered speech emotion recognition. The cognitive performance is also considered in emotion recognition so that the recognition errors of whispered speech emotion can be corrected.Based on the cognitive scores,the emotion recognition results can be improved.The results show that the formant features are not significantly related to arousal dimension,while the short-term energy features are related to the emotion changes in arousal dimension.Using the cognitive scores,the recognition results can be improved.