A Robust and Adaptive Word Boundary Detection Method

摘要：

Word boundary detection is an important research topic of speech processing. A new method for word boundary detection is proposed, which divides the single band into multi bands and extracts the mean square deviation of the multi bands as a feature parameter for word boundary detection. The new method computers the estimation of the background noise and updates the estimation to adapt the change of the background noise. Experimental results show that adaptive band spectral mean square deviation is robust against with background noise well. The new method proposed in this paper achieved a good detection effect under different noise environment.

关键词： word boundary detection band partition band spectral mean square deviation adaptive

作者: Liu Guanqun Zhang Rubo Li Xueyao

作者单位: College of Computer Science and Technology Harbin Engineering University Harbin, Heilongjiang, 150001, CHINA

会议类型: 国际会议

会议名称: 2010 Second Asia-Pacific Conference on Information Processing(2010年第二届亚太地区信息处理国际会议 APCIP 2010)

会议地点: 南昌

会议语种:英文

页码: 506-509

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）