标题：Information Technology and an Audio Retrieval Method Based on a Novel Audience Rating System
作者：Tian, Lan; Song, Qinghua; Lu, Xiaoshan
作者机构：[Tian, Lan; Song, Qinghua; Lu, Xiaoshan] Shandong Univ, Sch Informat Sci & Engn, Jinan 250100, Peoples R China.
会议名称：3rd International Conference on Material Science, Environment Science and Computer Science (MSESCS 2014)
会议日期：JAN 11-12, 2014
来源：ADVANCED RESEARCH ON MATERIAL SCIENCE, ENVIROMENT SCIENCE AND COMPUTER SCIENCE III
关键词：audience rating system; audio retrieval; robustness; channel recognition
摘要：A novel and universal audience rating system based on TV audio features is introduced. In this system, the audio signal is sampled from the audio outlet of TV set and high compressed into a specific spectrum features packages. The packaged audio features are high robustness for different types of television sets and sound volumes, and have no disturbance of surroundings. In the channel audio retrieval method, feature vector correlation analysis and pattern matching are adopted successively. The simulation test results show that the TV channel recognition rate is above 93%, and other sounds from non-TV channels can be detected reliably.