Study of cultural difference of paralanguage use between Chinese and American TV talk show hosts is important for intercultural communication. The result shows that American TV talk show host uses more paralanguage si...Study of cultural difference of paralanguage use between Chinese and American TV talk show hosts is important for intercultural communication. The result shows that American TV talk show host uses more paralanguage signals than her Chinese counterpart. And American host uses more types of paralanguage signals than her Chinese counterpart. The difference of paralangue use indicates the cultural difference between China and America on the values of equality vs. hierarchy and individualism vs. collectivism. The study is significant in that it helps us to understand the hidden cultural values in TV talk shows and promotes nonverbal communication.展开更多
Functional paralanguage includes considerable emotion information, and it is insensitive to speaker changes. To improve the emotion recognition accuracy under the condition of speaker-independence, a fusion method com...Functional paralanguage includes considerable emotion information, and it is insensitive to speaker changes. To improve the emotion recognition accuracy under the condition of speaker-independence, a fusion method combining the functional paralanguage features with the accompanying paralanguage features is proposed for the speaker-independent speech emotion recognition. Using this method, the functional paralanguages, such as laughter, cry, and sigh, are used to assist speech emotion recognition. The contributions of our work are threefold. First, one emotional speech database including six kinds of functional paralanguage and six typical emotions were recorded by our research group. Second, the functional paralanguage is put forward to recognize the speech emotions combined with the accompanying paralanguage features. Third, a fusion algorithm based on confidences and probabilities is proposed to combine the functional paralanguage features with the accompanying paralanguage features for speech emotion recognition. We evaluate the usefulness of the functional paralanguage features and the fusion algorithm in terms of precision, recall, and F1-measurement on the emotional speech database recorded by our research group. The overall recognition accuracy achieved for six emotions is over 67% in the speaker-independent condition using the functional paralanguage features.展开更多
文摘Study of cultural difference of paralanguage use between Chinese and American TV talk show hosts is important for intercultural communication. The result shows that American TV talk show host uses more paralanguage signals than her Chinese counterpart. And American host uses more types of paralanguage signals than her Chinese counterpart. The difference of paralangue use indicates the cultural difference between China and America on the values of equality vs. hierarchy and individualism vs. collectivism. The study is significant in that it helps us to understand the hidden cultural values in TV talk shows and promotes nonverbal communication.
基金supported by the National Natural Science Foundation of China (Nos. 61272211 and 61170126)the Natural Science Foundation of Jiangsu Province (No. BK2011521)the Research Foundation for Talented Scholars of Jiangsu University (No. 10JDG065), China
文摘Functional paralanguage includes considerable emotion information, and it is insensitive to speaker changes. To improve the emotion recognition accuracy under the condition of speaker-independence, a fusion method combining the functional paralanguage features with the accompanying paralanguage features is proposed for the speaker-independent speech emotion recognition. Using this method, the functional paralanguages, such as laughter, cry, and sigh, are used to assist speech emotion recognition. The contributions of our work are threefold. First, one emotional speech database including six kinds of functional paralanguage and six typical emotions were recorded by our research group. Second, the functional paralanguage is put forward to recognize the speech emotions combined with the accompanying paralanguage features. Third, a fusion algorithm based on confidences and probabilities is proposed to combine the functional paralanguage features with the accompanying paralanguage features for speech emotion recognition. We evaluate the usefulness of the functional paralanguage features and the fusion algorithm in terms of precision, recall, and F1-measurement on the emotional speech database recorded by our research group. The overall recognition accuracy achieved for six emotions is over 67% in the speaker-independent condition using the functional paralanguage features.
