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Wavelet and Self-Organizing Map Declacker

机译:小波和自组织图Declacker

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摘要

A declacking algorithm based on the Wavelet Transform and Self Organizing Maps is presented. Both tools complement each other for improved performance. The transient detection is based on the local properties of the music signal and of the noise. An expert operator selects typical types of clacks, which are used to design the best detector. The detected clacks are organized by the SOM after which the music signal is processed a second time.
机译:提出了一种基于小波变换和自组织映射的去杂算法。两种工具相互补充以提高性能。瞬态检测基于音乐信号和噪声的局部属性。专业的操作员会选择典型的敲击类型,用于设计最佳的探测器。检测到的拍子由SOM整理,然后第二次处理音乐信号。

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