Pitch Accent Prediction Using Ensemble Machine Learning

摘要：

In this study, we applied ensemble machine learning to predict pitch accent. With decision tree as the baseline algorithm, we use popular ensemble method-boosting, at different experiment conditions, such as using acoustic features only, use text-based only, using both acoustic and text-based features to evaluate the performance of ensemble machine learning method. Pitch and Energy related acoustic features are derived from statistic methods, and we consider context influences to pitch and energy related features. Models of pitch accent (accent and unaccented) are built at the syllable level. At the same time, we compare support vector machine (SVM) to predict pitch accent at same experiment conditions. Results showed that in all experiments ensemble machine learning achieved improved performance.The best result obtained using ensemble machine learning is 82.60％ accuracy to mandarin read speech.

关键词： prosody pitch accent ensemble machine learning

作者: Aiying Zhang Chongjia Ni

作者单位: School of Statistics and Mathematics, Shandong University of Finance Jinan China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 444-447

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）