A Fast Broadcast Audio Comparison Method

Abstract

The invention belongs to the technical field of digital audio processing and relates to a method for comparing two audio signals, and specifically to a fast audio comparing method. The method comprises steps of: S1, extracting characteristics by performing preprocessing, audio frame reading, frame data conversion, audio frame characteristic computation, and audio characteristic generation on two audio signals to be compared, and arranging the characteristic vectors fi of the audio frames in matrixes F=[f1, f2, f3,.. fM]; S2, performing characteristic matching by comparing the corresponding columns of the characteristic vectors F1 and F2 of the two audio signals one by one, averaging the distance of all frames of the two audio signals, and using an average value as the distance between the two audio signals; and S3 determining similarity. The method has a good comparison fault tolerance and may achieve correct comparison when the audio signals are subjected to noise interference or sound effect processing. Further, the method is simple in algorithm, fast in process, and can be widely used in program monitoring and advertisement monitoring and management in a broadcasting station.

Description

technical field [0001] The invention belongs to the technical field of digital audio processing, and relates to a method for comparing two audio signals, in particular to a fast audio comparison method, which can be applied to real-time comparison of broadcast audio. Background technique [0002] Today, audio broadcasting has become the most popular medium of publicity and entertainment. The program broadcasting of radio stations and the management of media resources all involve the need for audio comparison, that is, to compare two audios to determine whether they are the same or similar. For example, in program monitoring, it is necessary to receive and query the audio signals actually transmitted and broadcasted online in real time, which involves comparing the received audio stream with the original audio to be broadcast, so as to judge the entire open-loop broadcast channel Is it normal? Another example is in advertising statistics management, it is also necessary to c...

AI Technical Summary

Problems solved by technology

In this case, the traditional comparison method is often not applicable, because the broadcast audio comparison needs to determine whether the broadcast audio content itself is the same, rather than whether the auditory effect is consistent, that is, even if a certain audio is disturbed by certain noise, spectrum After adjustment and other processing, the algorithm should still determine that the audio is similar to the original audio (or similar to each other)

Although comparison methods that are not sensitive to audio changes have also appeared in the literature, such as the comparison method based on Philips audio fingerprints, in these methods, the distance between two audio before and after processing is not much different from the distance between two audio that are really completely different. Therefore, it is easy to be confused in discrimination, especially when there is strong noise interference or a large change in audio processing, discrimination errors will occur; on the other hand, in terms of computational efficiency of comparison, the computational complexity of existing methods is relatively low. High, the time required for comparison is relatively long, which is not conducive to real-time processing

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