Decision Tree Based Tone Modeling with Corrective Feedbacks for Automatic Mandarin Tone Assessment.
dc.contributor | 國立臺灣師範大學應用華語文學系 | zh_tw |
dc.contributor.author | Liao, H.C. | en_US |
dc.contributor.author | Chen, J.C. | en_US |
dc.contributor.author | Chang, S.C. | en_US |
dc.contributor.author | Guan, Y. H. | en_US |
dc.contributor.author | Lee, C.H. | en_US |
dc.date.accessioned | 2014-10-30T09:27:06Z | |
dc.date.available | 2014-10-30T09:27:06Z | |
dc.date.issued | 2010-09-30 | zh_TW |
dc.description.abstract | We propose a novel decision tree based approach to Mandarin tone assessment. In most conventional computer assisted pronunciation training (CAPT) scenarios a tone production template is prepared as a reference with only numeric scores as feedbacks for tone learning. In contrast decision trees trained with an annotated tone-balanced corpus make use of a collection of questions related to important cues in categories of tone production. By traversing the corresponding paths and nodes associated with a test utterance a sequence of corrective comments can be generated to guide the learner for potential improvement. Therefore a detailed pronunciation indication or a comparison between two paths can be provided to learners which are usually unavailable in score-based CAPT systems. | en_US |
dc.identifier | ntnulib_tp_H0105_02_002 | zh_TW |
dc.identifier.isbn | 978-161-782-123-3 | zh_TW |
dc.identifier.uri | http://rportal.lib.ntnu.edu.tw/handle/20.500.12235/31358 | |
dc.language | en | zh_TW |
dc.relation | The proceedings of Interspeech 2010(pp.602-605), Makuhari, Chiba, Japan. | en_US |
dc.title | Decision Tree Based Tone Modeling with Corrective Feedbacks for Automatic Mandarin Tone Assessment. | en_US |