【摘要】 不同的音频指纹提取算法需要不同的音频指纹搜索。针对某些特定(例如:foosic算法)的音频指纹提取算法,在数据预处理方面提出并实现了两种新的音频指纹搜索算法:PCA(Principle Component Analysis)主成分分析算法、不同帧之间相应的数据求和算法。实验结果表明:应用PCA算法,在搜索正确率为94.98%的情况下,搜索时间缩短为8.42%;应用求和算法,在搜索正确率为95.92%的情况下,搜索时间缩短为3.72%。更多还原

【Abstract】 Different Audio Fingerprint(AF) feature extraction algorithms require different AF searching algorithms.For some specific AF feature extraction algorithms(e.g.foosic algorithm),in data processing,two new AF searching algorithms are proposed and implemented:Principle Component Analysis(PCA) algorithm and sum of the corresponding data between different frames algorithm.The experimental results show that applying PCA algorithm,the accuracy is 94.98% while the search time is as low as 8.42%;applying sum algorithm,the accuracy is 95.92% while the search time is as low as 3.72%.更多还原