A Study on Feature Analysis and Recognition of Practical Speech Emotion
实用语音情感的特征分析与识别的研究

Practical speech emotions as impatience and happiness are studied especially for evaluation of emotional well-being in real world applications. Induced natural speech emotion data is collected with a computer game, 74 emotion features are extracted, prosody features and voice quality features are analyzed according to dimensional emotion model, evaluation and selection of acoustic features are carried out for practical emotions in this paper, a method of practical speech emotion classification with rejection decision is proposed for real world occasions. The experiment results show, the speech features analyzed in this paper are suitable for classification of practical speech emotions like impatience and happiness, average recognition rate is above 75%, and the method of emotion classification with rejection decision is necessary for the proper recognition decision of ambiguous or unknown emotion samples, especially for the real world challenges.