南京师范大学学报:工程技术版2011,Vol.11Issue(3):73-77,5.
基于改进特征值的语音分割算法研究
A Speech Segmentation Algorithm Based on Improved Eigenvalue
摘要
Abstract
With the rapid development of internet technology and media application, text-based retrieval cannot satisfy the requirements and auditory-visual processing can not be applied for the large data amount, so the emergence of speech retrieval is particularly important. An audio clip usually consists of many different types of audio segments with different meanings ; therefore, it becomes a new method to perform speech retrieval with audio segmentation for modern media based on audio eigenvalue. In the article, the basic eigenvalue of each audio frame is compared with the average eigen- value of the entire audio clip and then the improved eigenvalue can be obtained for audio segmentation by using the K- Nearest Neighbor algorithm. The experimental results show that the proposed algorithm based on the improved eigenvalue can efficiently improve the accuracy of audio segmentation.关键词
语音检索/语音分割/改进特征值Key words
speech retrieval/speech segmentation/improved eigenvalue分类
信息技术与安全科学引用本文复制引用
任新社,缪华,马青玉..基于改进特征值的语音分割算法研究[J].南京师范大学学报:工程技术版,2011,11(3):73-77,5.基金项目
国家自然科学基金(10974098)、江苏省科技厅自然科学基金(BK2009407)和教育部博士点基金(20093207120003). ()