Audio Retrieval Based on Chinese Keyword Search in Relational Databases

摘要：

　　In this paper,we propose a new method based on Chinese keyword search to select the WAV or MP3 files in audio post-production.First,we listen to each file and label it with Chinese characters,and then classify and store the files in a relational database system.Then,we use the techniques of Chinese kcyword search to match query characters and the tuple characters quickly,and to compute similarities between the query and candidate tuples.For the characteristics of Chinese keyword search,we present a ranking strategy and an algorithm to refine the candidate tuples resulting from the first round matching,and finally get top-N results of audio files.The experimental results show that our method is efficient and effective.

关键词： Relational database Audio retrieval Post-production Chinese Keyword Search Ranking strategy

作者: Boyan Zhu Guang Liu Liang Zhu

作者单位: College of Art Hebei University Baoding, Hebei, 071002 China Key Laboratory of Machine Learning and Computational Intelligence, School of Mathematics and Compute

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer and Information Applications(ICCIA2012)(2012第二届计算机和信息应用国际会议)

会议地点: 太原

会议语种:英文

页码: 634-637

在线出版日期: 2012-12-08（万方平台首次上网日期，不代表论文的发表时间）