Method and device for determining similar audios

Abstract

The embodiment of the invention discloses a method and device for determining similar audios. The method includes the steps of determining an appointed audio characteristic value sequence of target audios; according to the dynamic time warping, respectively calculating DTW distances between the appointed audio characteristic value sequence of the target audios and an appointed audio characteristic value sequence of pre-determined N basic audios; determining the obtained N DTW distances to be audio fingerprints of the target audios; according to a preset formula, calculating the similarity between the audio fingerprints of the target audios and audio fingerprints of standard audios; if the similarity between the audio fingerprints of the target audios and the audio fingerprints of the standard audios is larger than a preset pre-threshold value, determining that the target audios are similar to the standard audios. Compared with the prior art, generation of a large number of feature vectors is not needed, so that in the overall audio fingerprint matching process, storage and searching of a large number of features are not needed, and the robot resource cost is small. In addition, the problem that the local robustness in the prior art is not high enough can be solved, and the overall robustness can be improved.

Description

technical field [0001] The invention relates to the field of computer multimedia, in particular to a method and device for determining similar audio. Background technique [0002] With the rapid development of multimedia and network technology, audio generation and transmission have become simple and fast, and audio resources have become extremely rich. Some websites that provide audio resources to users also receive a large number of audio resources uploaded by users while providing audio to users. Among these audios, there are often audios with similar content. If the audio website stores all these audios with similar content, the work pressure will be relatively high for the audio website. Therefore, how to determine whether the audio is similar and remove the similar audio is very important for audio websites. [0003] In the prior art, generally, audio fingerprints corresponding to the audios are used to determine whether the audios are similar. Audio fingerprints ar...

AI Technical Summary

Problems solved by technology

[0005] The above audio fingerprint matching methods are all based on multiple local features of specific audio frames to determine the audio fingerprint, which will generate a large number of feature vectors, which requires a large amount of feature storage and retrieval in the entire audio fingerprint matching process, machine resources The overhead is high, and at the same time, the local robustness is not high enough due to the fact that the frames may be inconsistent when extracting audio-specific audio frames

Images