An automatic detection method and system for audio signal similarity

Abstract

The invention discloses an automatic detection method and system for the similarity of audio signals, comprising: acquiring two segments of audio signals to be detected; performing frequency domain analysis on them to find out the local peak positions of all frequency domain energy; connecting frequency domain energy The local peaks are used to form the pitch track; the significant value of each audio frame is calculated according to the position of the local peak energy in the frequency domain, and the significant average value is obtained; In the part of the threshold value, the main melody sequence of the two audio signals is obtained; the similarity matrix of the two main themes is obtained; and the dynamic programming local warping algorithm is applied to perform binarization processing to obtain a binary matrix; and then the two input audio signals are judged degree of similarity. By adopting the method or system of the present invention, the detection efficiency of the similarity degree of the audio signal is improved, the plagiarism problem in the audio transmission is solved, and the copyright management problem of the digital audio is accurately and comprehensively protected.

Description

technical field [0001] The invention relates to the field of music plagiarism detection, in particular to an automatic detection method and system for audio signal similarity. Background technique [0002] With the rapid development of the Internet and software development technology, the cost of music dissemination and the threshold of music writing have become lower and lower, and audio similarity comparison has become an important research topic. In the research of music information retrieval, music similarity calculation is one of the key topics, which studies how to calculate the similarity in the content of two different audio pieces. The definition of "similarity" between music usually contains a lot of subjective elements, but there are also some quantifiable entry points, such as the degree of similarity in the direction of melody. There are two opinions in the judgment criteria of music plagiarism , One is that the similarity of more than 8 bars is regarded as pla...

AI Technical Summary

Problems solved by technology

[0004] However, the main problem of the prior art is that the effect of judging music plagiarism is not comprehensive

More music plagiarism only needs to be calculated in the local part of the music. The dynamic time warping algorithm calculates the similar distance from (0, 0) to (Am, Bm) and cannot well represent the relationship between two pieces of music. Similarity difference, so in the disordered locally similar music, this method does not show significant similarity difference well. If you want to use local interception for processing, it will undoubtedly increase the time overhead. In the quick judgment Under the technical requirements of plagiarism, it cannot be the first choice

At the same time, there are various definitions of sequence distance. This method based on linear comparison has no obvious gradient in the calculation of similarity. In other words, the fitting of similarity should not be a simple growth curve. The definition of distance must be affect the judgment

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