Details

Autor(en) / Beteiligte

• Yucan Zhou
• Yuan Jia
• Qinghua Hu
• Aijun Li

Titel

The effect of accent in recognizing dialog act in Chinese

Ist Teil von

• 2013 International Conference Oriental COCOSDA held jointly with 2013 Conference on Asian Spoken Language Research and Evaluation (O-COCOSDA/CASLRE), 2013, p.1-6

Ort / Verlag

IEEE

Erscheinungsjahr

2013

Quelle

IEEE Electronic Library (IEL)

Beschreibungen/Notizen

• Dialogue-act (DA) classification is a key step for the computer to understand natural-language dialogues. Some prosodic features have been recommended to improve the performance of DA classification; however, most of the prosodic features are based on the pitch variations. In the present work, we propose some new attributes for automatic classification of dialogue acts (DAs) from accent features. We test classification performance on solving a 15-DA classification task with the CASIA-CASSIL Corpus. Promising performance is observed when the accent features are added in training classification models and the misclassification rate drops about 12.57%. Although the accent features may not be sufficient for classification of DAs, it is shown that the accent features can improve the performance of DAs classification to a great extent.