CAJ | 학술논문

疑问句在语音交际中占有重要地位，检出语音交际中的疑问句对把握语义重心和分析话语结构具有重要作用。在分析疑问语气凸显的声学特征的基础上，提出了一种基于声学特征凸显的汉语疑问句检出方法。该方法用支持向量机（SVM）对小时间粒度的疑问语气凸显进行建模，通过基于加窗机制的后处理方法判决语音是否为疑问句。在面向电话客服应用环境录制模仿的和真实的汉语对话语音库上进行了算法测试。实验表明该方法对汉语疑问句具有较好的检出性能。
의문구재어음교제중점유중요지위，검출어음교제중적의문구대파악어의중심화분석화어결구구유중요작용。재분석의문어기철현적성학특정적기출상，제출료일충기우성학특정철현적한어의문구검출방법。해방법용지지향량궤（SVM）대소시간립도적의문어기철현진행건모，통과기우가창궤제적후처리방법판결어음시부위의문구。재면향전화객복응용배경록제모방적화진실적한어대화어음고상진행료산법측시。실험표명해방법대한어의문구구유교호적검출성능。
Question plays an important role in both human-human and human-computer speech communication.It is important to detect the questions for natural dialogues understanding and discourse structures analysis.The acoustic features of interrogative mood prominence in Chinese question are analyzed.A novel method is proposed to detect Chinese question based on acoustic fea-tures prominence.In particular,the support vector machine (SVM)is applied to model the interrogative mood prominence. Then,the windowed post-process is used to identify the question in the utterance.In the experiments,our method is applied to analyze both simulated and real-life Chinese corpora in the call center.The results demonstrate the effectiveness of our proposed model on Chinese question detection.