Detecting leadership and cohesion in spoken interactions
ICASSP(2012)
摘要
We present a system for detecting leadership and group cohesion in multiparty dialogs and broadcast conversations in English and Mandarin. We systematically investigate the impact of features and designs of the prediction systems, the relationships between features and their individual significance in logistic regressions, and the contributions of feature groupings as predictors for leader and group cohesion, across genres and languages. We achieve 73.0% to 94.7% F1 accuracy for leader detection and around 80% F1 accuracy for group cohesion detection, on all data sets.
更多查看译文
关键词
logistic regression,speech processing,group cohesion detection,leadership detection,regression analysis,f1 accuracy,leader detection,english,feature analysis,spoken interaction,broadcast conversation,group cohesion,mandarin,prediction theory,multiparty dialog,feature groupings prediction system,indexes,heating,lead
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络