关键词: 语音情感识别, 功能性副语言, 自动检测, 自适应权重, 融合识别

Abstract: According to the problem that sound burst features (laughter, cries, sighs, called functional paralanguages) contain a great deal of emotional information while the sentences containing emotional paralanguages have lower recognition accuracy, this paper proposes a method of speech emotion recognition fusing functional paralanguages. In this method, firstly the automatic detection of functional paralanguages is utilized for sentences. Then the functional paralanguages are separated from sentences based on detection results. Then two more pure types of signals: functional paralanguage and traditional speech are gotten. Finally, the emotional information of functional paralanguage and traditional speech is adaptively fused.?The experimental results on speaker-independent emotion corpus containing six functional paralanguages and six typical emotions show that: average recognition rate of the proposed method is 67.41%, which is higher than the results of linear weighted fusion, Dempster-Shafer (DS) evidence?theory, Bayesian fusion method and before the fusion by 4.2%, 2.8%, 2.4% and 8.08%. Thus, the method has better robustness and recognition accuracy for speaker independent speech emotion recognition.

Key words: speech emotion recognition, functional paralanguage, automatic detection, adaptive weight, fusion recognition