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Robust and invariant audio pattern matching

机译:稳健而不变的音频模式匹配

摘要

The present invention provides an innovative technique for rapidly and accurately determining whether two audio samples match, as well as being immune to various kinds of transformations, such as playback speed variation. The relationship between the two audio samples is characterized by first matching certain fingerprint objects derived from the respective samples. A set (230) of fingerprint objects (231,232), each occurring at a particular location (242), is generated for each audio sample (210). Each location (242) is determined in dependence upon the content of the respective audio sample (210) and each fingerprint object (232) characterizes one or more local features (222) at or near the respective particular location (242). A relative value is next determined for each pair of matched fingerprint objects. A histogram of the relative values is then generated. If a statistically significant peak is found, the two audio samples can be characterized as substantially matching.
机译:本发明提供了一种创新技术,该技术用于快速和准确地确定两个音频样本是否匹配,并且不受诸如重放速度变化之类的各种变换的影响。两个音频样本之间的关系的特征在于,首先匹配从各个样本导出的某些指纹对象。为每个音频样本生成一组( 230 )指纹对象( 231,232 ),每个指纹对象都出现在特定位置( 242 )。 210 )。根据相应音频样本( 210 )的内容确定每个位置( 242 ),并且每个指纹对象( 232 )表征一个或在各自特定位置( 242 )附近的更多本地特征( 222 )。接下来,为每对匹配的指纹对象确定一个相对值。然后生成相对值的直方图。如果发现统计学上显着的峰值,则可以将两个音频样本表征为基本匹配。

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