A new Algorithm Based on RLS for Voiced/Unvoiced Segmentation

摘要：

A new voiced/unvoiced segmentation based on RLS (recursive Least Square) in the foundation of traditional short-time analysis (i.e. Zero-Energy decision), with the adaptive tracking capacity to the non-steady pronunciation signal, has been present. The algorithm can rapidly realize precise voiced/unvoiced segmentation, without parameter-adjustment by samples training. In voiced section and unvoiced each one is relatively steady, the non-stability of pronunciation mainly manifests in the intersection point of voiced section and unvoiced section. In voiced/unvoiced section and the intersection point, RLS will present a different prediction track capacity inevitably. The adaptability establishes on a single pronunciation sample, and decides voiced/unvoiced segmentation according to the different tracking capacity of RLS in voiced/unvoiced section and the intersection point. It is different from the methods based on threshold, the algorithm based on recognizing the extreme value point of RLS prediction error would avoid the drawback of various adaptive learning algorithms in generalization, which better adapt for various varying factors of different sampling rate, speaker, volume, background noise.

作者: Weibo Xie Yongchu Wang Canhui Cai

作者单位: College of Computer Science and Technology,Huaqiao University,Quanzhou,362021,Fujian,China College of Mechanical & automation,Huaqiao University,Quanzhou,362021,Fujian,China College of Information Science and Technology,Huaqiao University,Quanzhou,362021,Fujian,China

会议类型: 国际会议

会议名称: The 2nd International Symposium on Systems and Control in Aeronautics and Astronautics(第二届航空航天系统与控制国际会议 ISSCAA 2008)

会议地点: 深圳

会议语种:英文

页码: 206-209

在线出版日期: 2008-12-10（万方平台首次上网日期，不代表论文的发表时间）